Single output regression problem

• Computers.csv : Prices of computers
• computers_plots.py : Visualizations of important features
• computers_features.py : Generates features and selects features
• computers_bayes.py : Builds and tests Bayesian models
• computers_forest.py : Builds and tests Random Forest models
• computers_xgboost.py : Builds and tests Extreme Gradient Boosting Tree models

Single output regression problem

• house.csv : Prices of houses
• house_plots.py : Visualizations of important features
• house_features.py : Generates features and selects features
• house_lasso.py : Builds and tests Lasso Regression models
• house_bayes.py : Builds and tests Bayesian models
• house_forest.py : Builds and tests Random Forest models

Single output classification problem

• titanic.csv : Whether or not people survived on the titanic
• titanic_features.py : Generates features and selects features
• titanic_features2.py : Generates features and selects features
• titanic_lasso.py : Builds and tests Lasso Regression models
• titanic_svm.py : Builds and tests Support Vector Machine models
• titanic_keras.py : Builds and tests Neural Network models

Single output classification problem

• Arrests.csv : Whether or not people were released from their arrest
• arrest_features.py : Generates features and selects features
• arrest_knn.py : Builds and tests k-Nearest Neighbors models
• arrest_gaussian.py : Builds and tests Gaussian Processor models
• arrest_forest.py : Builds and tests Random Forest models

Single output classification problem

• ansur.csv : Whether or not a soldier is Male/Female based on body measurements
• ansur_features.py : Generates features and selects features
• ansur_lasso.py : Builds and tests Lasso Regression models
• ansur_knn.py : Builds and tests k-Nearest Neighbors models
• ansur_tree.py : Builds and tests Decision Tree models