machine learning from scratch with Jupyter notebooks and Machine Learning library
| Algorithm | Notebook | Class |
|---|---|---|
| Linear Regression | ||
| Logistic Regression | ||
| K Nearest Neighbor | ||
| Gaussian/Linear Discriminant Analysis | ||
| Naive Bayes | ||
| Decision Stump | ||
| Decision Tree | ||
| Random Forest | ||
| Support Vector Machine | ||
| Adaboost | ||
| Gradient Boosting | ||
| Multi-Layer Perceptron | ||
| Neural Network |
| Algorithm | Notebook | Class |
|---|---|---|
| K Means | ||
| DB Scan | ||
| Principle Component Analysis | ||
| Gaussian Mixture Model |