├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── california_housing ├── .Rapp.history ├── .ipynb_checkpoints │ ├── Housing_R-checkpoint.ipynb │ ├── Housing_pt2-checkpoint.ipynb │ ├── Housing_pt2_final-checkpoint.ipynb │ └── feature_engineering_jupyter-checkpoint.ipynb ├── California_city_populations_original.xls ├── Housing_R.ipynb ├── Housing_R.pdf ├── Housing_R.r ├── Housing_R_pt2.r ├── Housing_R_tidy.r ├── Housing_pt2.ipynb ├── README.md ├── cal_cities_lat_long.csv ├── cal_cities_lat_long.xlsx ├── cal_populations_city.csv ├── cal_populations_county.csv ├── california.png ├── feature_engineering.py ├── feature_engineering_jupyter.ipynb ├── housing.csv └── housing_front_to_back.ipynb ├── comments_toxicity ├── comments_xgb_final.py └── train_and_test_to_matrix.py ├── faa-laser-incident-reports ├── .Rapp.history ├── .ipynb_checkpoints │ └── laser_cleanup-checkpoint.ipynb ├── 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_meta ├── .ipynb_checkpoints │ └── genome_metadata-checkpoint.ipynb ├── all_genomes_lists │ ├── eukaryotes.csv │ ├── prokaryotes.csv │ └── viruses.csv ├── genome_metadata.R ├── genome_metadata.ipynb └── https-::www.ncbi.nlm.nih.gov:genome:browse#!:eukaryotes:.webloc ├── gini.py ├── google_analytics ├── 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 ├── hockey_dat ├── NHL_salary_XGBoost.ipynb ├── NHL_salary_model.ipynb ├── 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 ├── random_order.py ├── temp.txt ├── test.csv ├── test.xlsx ├── test_salaries.csv ├── test_salaries.xlsx ├── train.csv └── train.xlsx ├── iceberg_tensorflow_cnn.ipynb ├── iceberg_tensorflow_cnn.py ├── insurance_classification ├── Tensorflow_nn_class_imbalance.ipynb ├── insurance_explore.py ├── insurance_tf_nn_classification_downsample.py ├── insurance_tf_nn_classification_upsample.py ├── neural_network_classifier.ipynb └── tf_nn_classification_bad.py ├── insurance_explore.py ├── insurance_tensorflow_dnn.py ├── jeopardy ├── .Rapp.history ├── contestants.csv ├── final_results.csv ├── jeopardy_explore ├── jeopardy_explore.r ├── locations.csv ├── questions.csv └── trend.csv ├── ml_munging_functions.py ├── original_iceberg_tensorflow_cnn.py ├── sql_bigquery ├── 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 ├── stock_data 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