| NumPy |
ml_0000_numpy |
| Pandas |
ml_0000_pandas |
| Pandas 100 Puzzles |
ml_0000_pandas_100_puzzles |
| Matplotlib |
ml_0000_matplotlib |
| Classification |
ml_0001_classifications |
| Regression |
ml_0002_regression |
| Clustering |
ml_0003_clustering |
| Evaluation Metrics |
ml_0004_clustering_classification_metrics |
| Dataset Analysis |
ml_0005_analyze_datasets |
| Linear Regression (Completed) |
ml_0006_linear_regression |
| Logistic Regression |
ml_0007_logistic_regression |
| Decision Tree & Random Forest |
ml_0008_decision_tree_random_forest |
| Analysis Rossmann Dataset |
ml_0009_explore_Rossmann_dataset |
| How to Approach ML Projects |
ml_0009_how_to_approach_ml_project |
| Gradient Boosting Machine |
ml_0010_XGBoost |
| Unsupervised Learning |
ml_0011_clustering_dimensionality_reduction |
| NYC Taxi Fare Prediction |
ml_0012_NYC_taxi_fare_prediction |
| Spam Email Detection |
ml_0013_spam_email_detection |
| Linear Regression From Scratch |
ml_0014_linear_regression_from_scratch |
| Image Classification With SVC & XGBoost |
ml_0015_image_classification_svc_xgb |
| Image Classification With Yolo |
ml_0015_image_classification_Yolo |