DATA SCIENCE IN TAMIL

https://youtube.com/channel/UCTCMjShTpZg96cXloCO9q1w

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Views	109,266
Videos	304
Country	US
Created	Aug 2021 (3 years old)
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Channel Title: DATA SCIENCE IN TAMIL
Channel Description: To join DataScienceInTamil Telegram group:
https://t.me/DataScience_InTamil 
-----------------
To join DataScienceInTamil WhatsApp group:
https://chat.whatsapp.com/IIEiIX50B2K2ErpanvfR23
-----------------
YouTube Channel: 
www.youtube.com/@DataScienceInTamil
----------------- 
✍️ Python 3rd batch playlist - 45 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMzxKfF6xNLEpv8eBVahdB7Y

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualisation in Machine Learning
1st batch playlist - 18 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3
<video>
Day 13-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

Data Science & Artificial Intelligence என்பது இப்பொழுது வளர்ந்து வரும் அதிநவீன தொழில்நுட்பம்.  நம் தமிழ் சமூகத்துக்கு இந்த அதிநவீன டெக்னாலஜி போய் சேர வேண்டும் என்ற நோக்கில், Data Science in Tamil – WWW.DataScienceInTamil.Com) சார்பாக , நாம் Data Science & Artificial Intelligence சம்பந்தப்பட்ட தொழில்நுட்ப வகுப்புகளை முற்றிலும் இலவசமாக நடத்திக் கொண்டிருக்கின்றோம்.

நாம் Data  Science, Machine Learning, Deep Learning, Neural Network கற்று கொள்வதற்கு, மிக மிக அவசியமாக, கீழ் கண்டவற்றை கற்று கொள்ள வேண்டும்.
1. Linear Algebra
2. Analytical Geometry
3. Calculus (Differential and Integral)
4. Statistics
5. Probability Theory
------
நாம் ஏற்கனவே 
🟢 Python வகுப்புகள் மூன்று முறையும் , 
🟢 NumPy வகுப்புகள் இரண்டு முறையும், 
🟢 Pandas வகுப்புகள்  இரண்டு முறையும்,
🟢 Data Analysis & Visualization in Machine Learning வகுப்பு  ஒரு முறையும் நடத்தி, 
இவைகளின் வீடியோக்கள் https://www.youtube.com/@DataScienceInTamil  என்ற YouTube Channel லில் கிடைக்கிறது

✍️ To join Data Science In Tamil Telegram
இந்த குழுவில் உங்கள் நண்பர்களை இணைக்க,  லிங்க்
https://t.me/DataScience_InTamil
-----
To join Data Science In Tamil WhatsApp
https://chat.whatsapp.com/Kpv0tR57PkgHxHcFERetcV
-----
To watch the recorded videos in YouTube, playlists' URL is
YouTube Channel:   www.youtube.com/@DataScienceInTamil
---
✍️ Python 3rd batch playlist - 45 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMzxKfF6xNLEpv8eBVahdB7Y

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

இதன் தொடர்ச்சியாக, நம்முடைய Data Science in Tamil சார்பாக, Data Science & AI இன் ஒரு முக்கிய அங்கமான Machine Learning பற்றி ஒரு அறிமுக வகுப்பு நடத்தலாம் என்று இருக்கிறோம்.

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 19-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 23-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 16-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 17-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 21-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 12-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 14-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 22-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 18-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 20-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL:
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 15-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 25-PART1-DSIT-Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 24-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Topic : 1 - Introduction to Scalars and Vectors ::  Completed and the videos are available YouTube play list
https://www.youtube.com/playlist?list=PLb0yWsAbQGMy8zqYeTJqaSycx29xwmNnL
------
Syllabus for Matrix and Tensors
Topic 2 Matrix and Tensors
Play list link :  https://www.youtube.com/playlist?list=PLb0yWsAbQGMzkqlQFT29EGNCg_uDaMaoi
Chapter 1 of Topic 2:  Introduction of Matrix and Tensors
1. Introduction of Matrix and Tensors
2. Dimension vs Dimensions of Vector space
3. Matrix Notation
4. Shapes
5. Indexing
6. Main Diagonal
7. Tensors
-----
Chapter 2 of Topic 2: Operations and Manipulations on Matrix 
Basic Matrix operations are as follows
1. Scalar with Matrix
2. Vector with Matrix
3. Matrix with Matrix
4. Transposition Matrix
------
Chapter 3 of Topic 2: The Dot Product with Matrix / Matrix Product
1. Matrix dot vector (Left Matrix)
2. Vector dot Matrices  (Right Matrix)
3. Matrices dot Matrices - Matrices Product
4. Matrix * Matrix (Matrix element wise multiplication)
5. Transpose of a Matrix Product 
-----
Chapter 4 of Topic 2 : Types of Matrices
1.  Row Matrix
2. Column Matrix
3. Square Matrix
4. Rectangular Matrix
5. Inverse Matrix – it has the below 3 info and other 2 matrix
 Determinants and its 12 properties 
 minor
 rank 
 cofactor matrix
 adjoint or adjugate matrix
6. cofactor matrix
7. adjoint or adjugate matrix
8. Identity Matrix or multiplicative identity of Matrix Or unit matrix or 
9. Scalar Matrix
10. Elementary Matrix (it has 3 types of operations) and 
permutation matrix
11. Equivalent Matrix (from Elementary Matrix)
12. Triangular Matrix (it has 8 types of Triangular Matrix)
1. Upper Triangular Matrix: 
2. Lower Triangular Matrix
3. Strictly Lower Triangular Matrix: 
4. Strictly Upper Triangular Matrix: 
5. Unit Lower Triangular Matrix: 
6. Unit Upper Triangular Matrix
7. TriDiagonal matrix 
8. Banded Matrix
13. Symmetric Matrix
14. Skew symmetric
15. Diagonal Matrix and off Diagonal
16.  Orthogonal Matrix and Orthonormal Matrix
17.  Sparse and Dense Matrix
18. Singular Matrix & Non Singular
19. Zero or Null Matrix
20. Hermitian Matrix 
21. Skew Hermitian Matrix
22. Non-Positive Matrix
23. Negative Matrix
24. Conjugate of a Matrix
25. Unitary Matrix
26. Trace of a Matrix
-------
Chapter 5 of Topic 2 - Types of Matrix Norms
1. Max Norm or infinity norm (inf)  max(sum(abs(x), axis=1))
2. Min Norm (-inf) min(sum(abs(x), axis=1))
3. Frobenius norm ('fro')
---------
Chapter 6 of Topic 2: Projects 
Hands-on Project: Image Classifier
</video>
<video>
Day 25-PART2-DSIT-Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL
Description: எங்கள் வாழ்வும் எங்கள் வளமும்
மங்காத தமிழ் என்று சங்கே முழங்கு … புரட்சிக்கவி

வணக்கம்....

✍️ NumPy 2nd batch playlist - 18 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos 
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualization in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos 
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

✍️ மேலும் முக்கிய கேள்விகள் பதில்களுக்கு :
https://www.DatascienceInTamil.com/#faq

✍️ Official Website:                                                         
https://DataScienceInTamil.com/
-----

Contacts and Links

t.me/DataScience_InTamil 16

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To join DataScienceInTamil WhatsApp group:
https://chat.whatsapp.com/IIEiIX50B2K2ErpanvfR23
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YouTube Channel:
www.youtube.com/@DataScienceInTamil
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✍️ Python 3rd batch playlist - 45 videos
https://www.youtube.com/playlist?list=PLb0yWsAbQGMzxKfF6xNLEpv8eBVahdB7Y

✍️ NumPy 2nd batch playlist - 18 videos
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXirFm87ZZ46ujY_6XCPNW

✍️ Pandas 2nd batch playlist - 19 videos
https://www.youtube.com/playlist?list=PLb0yWsAbQGMxXcLUdl1HZET5sVFAVpPd_

✍️ Data Analysis & Visualisation in Machine Learning
1st batch playlist - 18 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxIraaMYvNQr0GQh-X-cCB3&si=EcsF97EcGFG9u6bs

✍️ Intro to Data Analysis & Preprocessing in Machine Learning
1st batch playlist - 12 videos
https://youtube.com/playlist?list=PLb0yWsAbQGMxkbCRbs8wAdI9TQ4csnJFl&si=SxjhR_Fpy4GgwTX3

Videos from channel

Published	Title	Description	Views
Oct 19, 2024	Day 25-PART2-DSIT-Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	151
Oct 18, 2024	Day 25-PART1-DSIT-Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	46
Oct 17, 2024	Day 24-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	55
Oct 16, 2024	Day 23-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	35
Oct 15, 2024	Day 22-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	40
Oct 14, 2024	Day 21-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	35
Oct 13, 2024	Day 20-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL:	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	42
Oct 10, 2024	Day 19-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	41
Oct 09, 2024	Day 18-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	64
Oct 06, 2024	Day 17-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	60
Oct 05, 2024	Day 16-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	47
Oct 03, 2024	Day 15-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	58
Oct 02, 2024	Day 14-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	61
Oct 01, 2024	Day 13-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	66
Sep 30, 2024	Day 12-DSIT- Matrices and Tensors (Linear Algebra Part 2) Mathematics for Machine Learning & DL	எங்கள் வாழ்வும் எங்கள் வளமும் மங்காத தமிழ் என்று சங்கே முழங்...	58

DATA SCIENCE IN TAMIL

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