ml-with-python

Topics covered

1. Intro to python data structures
2. Data analysis and visualization
3. Classification(Binary and Multilabel)
4. Logistic Regression
5. Loss Function, Optimization, Metrices
6. Support Vector Machine
7. Decision Trees
8. Random Forest and XGBoost
9. Linear Regression
10. PCM
11. Clustering