Machine Learning and Applications

I. Reproducing ML algorithms from scratch

1. Regression
2. Classification
3. SVM
4. Dimensionality Reduction
5. HMM
6. Neural Networks

II. Practicing ML libraries & use-cases

1. KNN
2. Decision Tree
3. Random Forest
4. Naive Bayes
5. MLP