kaggle-code
A repository for some of the code I used in kaggle data science & machine learning tasks.
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최종 버전 다운로드 (.zip)- feature_engineering_jupyter-checkpoint.ipynb
- Housing_pt2-checkpoint.ipynb
- Housing_pt2_final-checkpoint.ipynb
- Housing_R-checkpoint.ipynb
- .Rapp.history
- cal_cities_lat_long.csv
- cal_cities_lat_long.xlsx
- cal_populations_city.csv
- cal_populations_county.csv
- california.png
- California_city_populations_original.xls
- feature_engineering.py
- feature_engineering_jupyter.ipynb
- housing.csv
- housing_front_to_back.ipynb
- Housing_pt2.ipynb
- Housing_R.ipynb
- Housing_R.pdf
- Housing_R.r
- Housing_R_pt2.r
- Housing_R_tidy.r
- README.md
- comments_xgb_final.py
- train_and_test_to_matrix.py
- laser_cleanup-checkpoint.ipynb
- .Rapp.history
- adjusted_laser_data.csv
- all_laser_dat.csv
- explore_faa_laser_dat.py
- laser_analysis.r
- laser_chi_sq.ipynb
- laser_cleanup.ipynb
- laser_incidents_2010.csv
- laser_incidents_2011.csv
- laser_incidents_2012.csv
- laser_incidents_2013.csv
- laser_incidents_2014.csv
- laser_plot.ipynb
- scrubbed.csv
- genome_metadata-checkpoint.ipynb
- eukaryotes.csv
- prokaryotes.csv
- viruses.csv
- genome_metadata.ipynb
- genome_metadata.R
- https-::www.ncbi.nlm.nih.gov:genome:browse#!:eukaryotes:.webloc
- blend_answers.py
- clean_to_np_matrix.py
- data_cleaning_json.py
- light_gbm_valid_set.py
- model_template.py
- nn_predict.py
- predict_spending_rough.py
- xgb_predict_valid_pca.py
- xgb_predict_valid_reduce.py
- xgb_predict_valid_set.py
- all_data_manipulated.csv
- column_legend.txt
- hockey_front_to_back.py
- hockey_rf_work.r
- hockey_xg_boost.r
- kaggle_init
- nhl_salary_main.xlsx
- NHL_salary_model.ipynb
- NHL_salary_XGBoost.ipynb
- random_order.py
- temp.txt
- test.csv
- test.xlsx
- test_salaries.csv
- test_salaries.xlsx
- train.csv
- train.xlsx
- insurance_explore.py
- insurance_tf_nn_classification_downsample.py
- insurance_tf_nn_classification_upsample.py
- neural_network_classifier.ipynb
- Tensorflow_nn_class_imbalance.ipynb
- tf_nn_classification_bad.py
- .Rapp.history
- contestants.csv
- final_results.csv
- jeopardy_explore
- jeopardy_explore.r
- locations.csv
- questions.csv
- trend.csv
- accident_explore.py
- sql_day1.ipynb
- sql_day2.ipynb
- sql_day3.ipynb
- sql_day4.ipynb
- sql_day5.ipynb
- vehicle_and_accident_data_2016.csv
- vehicle_explore.ipynb
- getSandP.py
- individual_stocks_5yr.zip
- merge.sh
- .gitattributes
- .gitignore
- gini.py
- iceberg_tensorflow_cnn.ipynb
- iceberg_tensorflow_cnn.py
- insurance_explore.py
- insurance_tensorflow_dnn.py
- LICENSE
- ml_munging_functions.py
- original_iceberg_tensorflow_cnn.py
- README.md
- taxi_lightGBM.py
- taxi_lightGBM_weather.py
- taxi_xgboost.py
- tensorflow_cnn_from_scratch.py
- tf_nn_classification.py
- tuning_XGBoost_params.py
- zillow_rf_model.py
// repository documentation
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