machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
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최종 버전 다운로드 (.zip)- Exploratory_Work-checkpoint.ipynb
- Machine Learning Project Part 1-checkpoint.ipynb
- Machine Learning Project Part 2-checkpoint.ipynb
- Machine Learning Project Part 3-checkpoint.ipynb
- tpot_exported_pipeline.py
- cleaned_data.csv
- Energy_and_Water_Data_Disclosure_for_Local_Law_84_2017__Data_for_Calendar_Year_2016_.csv
- no_score.csv
- testing_features.csv
- testing_labels.csv
- training_features.csv
- training_labels.csv
- X_test.csv
- X_train.csv
- Y_test.csv
- Y_train.csv
- Building Data Report.ipynb
- Exploratory_Work.ipynb
- annotated_individual_node.PNG
- correlation_examples.png
- cover_auto_ml.jpg
- cover_one.jpg
- cover_three.jpg
- cover_two.jpg
- data_formatted_with_score.PNG
- density_boroughs.png
- density_type.png
- df_info.PNG
- feature_importances.PNG
- feature_importances_graph.png
- feature_pairs.png
- formatted_train_data.PNG
- individual_node.png
- intrepretability_vs_accuracy.png
- kfold_cv.png
- lime_wrong_explanation.PNG
- local_explanation_one.png
- missing_values.PNG
- model_comparison.png
- negative_correlations.PNG
- nestimator_performance.png
- positive_correlations.PNG
- raw_data.PNG
- residual_distribution.png
- score_distribution.png
- score_vs_eui.png
- test_prediction_density.png
- test_values.png
- tpot-ml-pipeline.png
- tpot_training_information.PNG
- tree.dot
- tree.png
- tree_single.dot
- tree_single.png
- tree_single_small.dot
- tree_single_small.png
- tree_small.dot
- tree_small.png
- tree_verysmall.dot
- tree_verysmall.png
- weather_norm_eui.png
- wrong_explanation_plot.png
- 2016_nyc_benchmarking_data_disclosure_definitions.pdf
- Building Data Report.pdf
- hw_assignment.docx
- hw_assignment.pdf
- Machine Learning Project Part 1.ipynb
- Machine Learning Project Part 2.ipynb
- Machine Learning Project Part 3.ipynb
- README.md
// repository documentation
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