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