Fundamentals of Machine Learning Lab

LIST OF EXPERIMENTS

1. Study and Implement Linear Regression.
2. Study and Implement Logistic Regression.
3. Study and Implement K Nearest Neighbour (KNN).
4. Study and Implement classification using SVM.
5. Study and Implement Bagging using Random Forests.
6. Study and Implement Naive Bayes.
7. Study and Implement Decision Trees.
8. Study and Implement K-means Clustering to Find Natural Patterns in Data.
9. Study and Implement Gaussian Mixture Model Using the Expectation Maximization.
10. Study and Implement Classification based on association rules.
11. Study and Implement Evaluating ML algorithm with balanced and unbalanced datasets.
12. Comparison of Machine learning algorithms based on different-different parameters.