├── 01 - Python Introduction ├── .gitkeep └── Part 3 - conda environment.ipynb ├── 02 - Pandas Introduction └── data │ └── cereal.csv ├── 03 - Matplotlib Intro └── data │ ├── WTI_price.csv │ ├── cereal.csv │ ├── circle_data.csv │ └── linear.csv ├── 04 - KNN & Scikit-learn ├── Part 1 - K Nearest Neighbor.ipynb ├── Part 6 - Fast Prototyping with Snippets.ipynb └── data │ └── titanic.csv ├── 05 - SVM ├── Part 1 - Support Vector Machine.ipynb └── data │ ├── carprice.csv │ └── creditcard.csv ├── 06 - RF ├── Part 1 - Decision Tree and Random Forest.ipynb └── data │ ├── house_price.csv │ └── mobile.csv ├── 07 - Boosting ├── Part 1 - Ensemble Learning.ipynb ├── Part 2 - Adaptive Boosting.ipynb ├── Part 3 - Gradient Boosting.ipynb └── data │ └── life_expectancy.csv ├── 08 - Regression Evaluation ├── Part 1 - Regression Metrics.ipynb ├── Part 2 - Linear regression, Loss & Gradient Descent.ipynb ├── Part 3 - Polynomial Regression.ipynb ├── Part 5 - Regression Evaluation.ipynb ├── Part 7 - Scaling dan Transform.ipynb ├── Part 8 - Regression Coefficient and Regularization.ipynb └── data │ └── taxi_fare.csv ├── 09 - Classification Evaluation ├── Part 1 - Classification Metrics.ipynb ├── Part 2 - Weakness of Gradient Descent.ipynb ├── Part 3 - Logistic Regression.ipynb ├── Part 4 - Multiclass vs Multilabel.ipynb ├── Part 6 - Classification Evaluation.ipynb └── data │ ├── iris.csv │ └── mushrooms.csv ├── LICENSE ├── README.md ├── check_installation.py └── env_jcopml.yml /01 - Python Introduction/.gitkeep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /01 - Python Introduction/Part 3 - conda environment.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/01 - Python Introduction/Part 3 - conda environment.ipynb -------------------------------------------------------------------------------- /02 - 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SVM/data/creditcard.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/05 - SVM/data/creditcard.csv -------------------------------------------------------------------------------- /06 - RF/Part 1 - Decision Tree and Random Forest.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/06 - RF/Part 1 - Decision Tree and Random Forest.ipynb -------------------------------------------------------------------------------- /06 - RF/data/house_price.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/06 - RF/data/house_price.csv -------------------------------------------------------------------------------- /06 - RF/data/mobile.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/06 - RF/data/mobile.csv -------------------------------------------------------------------------------- /07 - Boosting/Part 1 - Ensemble Learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/07 - Boosting/Part 1 - Ensemble Learning.ipynb -------------------------------------------------------------------------------- /07 - Boosting/Part 2 - Adaptive Boosting.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/07 - Boosting/Part 2 - Adaptive Boosting.ipynb -------------------------------------------------------------------------------- /07 - Boosting/Part 3 - Gradient Boosting.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/07 - Boosting/Part 3 - Gradient Boosting.ipynb -------------------------------------------------------------------------------- /07 - Boosting/data/life_expectancy.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/07 - Boosting/data/life_expectancy.csv -------------------------------------------------------------------------------- /08 - Regression Evaluation/Part 1 - Regression Metrics.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/08 - Regression Evaluation/Part 1 - Regression Metrics.ipynb -------------------------------------------------------------------------------- /08 - Regression Evaluation/Part 2 - Linear regression, Loss & Gradient Descent.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/08 - Regression Evaluation/Part 2 - Linear regression, Loss & Gradient Descent.ipynb -------------------------------------------------------------------------------- /08 - 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Regression Evaluation/Part 8 - Regression Coefficient and Regularization.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/08 - Regression Evaluation/Part 8 - Regression Coefficient and Regularization.ipynb -------------------------------------------------------------------------------- /08 - Regression Evaluation/data/taxi_fare.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/08 - Regression Evaluation/data/taxi_fare.csv -------------------------------------------------------------------------------- /09 - Classification Evaluation/Part 1 - Classification Metrics.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/Part 1 - Classification Metrics.ipynb -------------------------------------------------------------------------------- /09 - Classification Evaluation/Part 2 - Weakness of Gradient Descent.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/Part 2 - Weakness of Gradient Descent.ipynb -------------------------------------------------------------------------------- /09 - Classification Evaluation/Part 3 - Logistic Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/Part 3 - Logistic Regression.ipynb -------------------------------------------------------------------------------- /09 - Classification Evaluation/Part 4 - Multiclass vs Multilabel.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/Part 4 - Multiclass vs Multilabel.ipynb -------------------------------------------------------------------------------- /09 - Classification Evaluation/Part 6 - Classification Evaluation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/Part 6 - Classification Evaluation.ipynb -------------------------------------------------------------------------------- /09 - Classification Evaluation/data/iris.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/data/iris.csv -------------------------------------------------------------------------------- /09 - Classification Evaluation/data/mushrooms.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/09 - Classification Evaluation/data/mushrooms.csv -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/README.md -------------------------------------------------------------------------------- /check_installation.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/check_installation.py -------------------------------------------------------------------------------- /env_jcopml.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/WiraDKP/supervised_learning/HEAD/env_jcopml.yml --------------------------------------------------------------------------------