Curriculum
- 4 Sections
- 20 Lessons
- 10 Weeks
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- Module 014 ItemsIntroduces Machine Learning concepts , Basic of Parameter Estimation and Supervised learning , in particular Regression
- Module 024 ItemsDiscusses Naive bayes classifier and KNN classifier. Generalization and Overfitting concepts, Regulariztion. Evaluation measures
- Module 033 ItemsNeural Networks and Decision Trees
- Module 049 ItemsClustering , Dimensionality Reduction, Ensembling and Resampling Methods
