/Future_User_Adoption

Use ML to predict factors most likely to influence future user adoption including RFE and feature_importances_.

Primary LanguageJupyter Notebook

Future-User-Adoption

Predict which factors are most likely to influence future user adoption.

Uses Recursive Feature Elmination (RFE) and Feature_Importances__. Includes hyperparamater tuning of Naive Bayes, Logistic Regression, Decision Trees, Random Forests and K-Nearest Neighbors.