Curriculum
- 4 Sections
- 20 Lessons
- 10 Weeks
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- Module 01Introduces Machine Learning concepts , Basic of Parameter Estimation and Supervised learning , in particular Regression4
- Module 02Discusses Naive bayes classifier and KNN classifier. Generalization and Overfitting concepts, Regulariztion. Evaluation measures4
- Module 03Neural Networks and Decision Trees3
- Module 04Clustering , Dimensionality Reduction, Ensembling and Resampling Methods9
