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Week - 1 |
Fundamentals of Machine Learning |
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Week - 2 |
Applications of Machine Learning |
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Week - 3 |
Training and Test Data |
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Week - 4 |
R Programming Language |
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Week - 5 |
Classification: k-nearest neighbours, Decision Trees
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Week - 6 |
Classification: Decision Trees |
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Week - 7 |
Classification: Artificial Neural Networks |
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Week - 8 |
Simple Linear Regression and Multiple Regression
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Week - 9 |
Classification and Regression-Based R Applications
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Week - 10 |
Clustering: K-means and Hierarchical Clustering
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Week - 11 |
Evaluation of Models
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Week - 12 |
Random Forest |
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Week - 13 |
R Applications |
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Week - 14 |
Deep Learning |