| 1 |
Lec 1 - Overview of AI-ML.pptx |
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| 2 |
Lec 2 - Types of ML.pptx |
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| 3 |
Lec 3 - Regression Line.pptx |
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| 4 |
Lec 4.-Cost Function and Gradient Descent.pptx |
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| 5 |
Lec. 5 - Logistic Regression.pptx |
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| 6 |
Lec 6 - Multiclass Classification.pptx |
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| 7 |
Lec 7 - Polynomial Regression.pptx |
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| 8 |
Lec 8 - Performace Metrics.pptx |
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| 9 |
Lec 9 - Errors in ML.pptx |
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| 10 |
Lec 10 - Regularization.pptx |
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| 11 |
Mod-2_Lec-1.pptx |
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| 12 |
Mod-2_Lec-2.pptx |
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| 13 |
Mod-2_Lec-3.pptx |
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| 14 |
Mod-2_Lec-4.pptx |
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| 15 |
Mod-2_Lec-5.pptx |
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| 16 |
Mod-3_Lec-1.pptx |
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| 17 |
Mod-3_Lec-2.pptx |
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| 18 |
Mod-3_Lec-3.pptx |
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| 19 |
Mod-3_Lec-4.pptx |
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| 20 |
Mod-3_Lec-5.pptx |
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| 21 |
Mod-3_Lec-6.pptx |
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| 22 |
Mod-3_Lec-7.pptx |
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| 23 |
Mod-4_Clustering and Its Types.pptx |
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| 24 |
Mod-5_Neural_Networks_and Emerging_ML_Techiques.pptx |
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