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Week - 1 |
Introduction to Machine Learning |
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Week - 2 |
Training Simple Classifiers |
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Week - 3 |
Logistic Regression |
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Week - 4 |
Support Vector Machines |
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Week - 5 |
Decision Trees and Random Forests |
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Week - 6 |
Data Preprocessing for Better Models |
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Week - 7 |
Dimensionality Reduction: Principal Component Analysis |
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Week - 8 |
Model Evaluation and Hyperparameter Tuning |
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Week - 9 |
Clustering Analysis |
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Week - 10 |
Building Artificial Neural Networks |
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Week - 11 |
Model Training Loops |
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Week - 12 |
Training Artificial Neural Networks |
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Week - 13 |
Computer Vision and Convolutional Neural Networks |
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Week - 14 |
Sequential Data and Recurrent Neural Networks |