This is the third submission for the "Creating Value Through Data Mining" course of my Master's degree in Business Analytics. Featuring Random Forest, boosting, bagging, clustering and more!

This is the second submission for the "Creating Value Through Data Mining" course of my Master's degree in Business Analytics. Featuring k-NN and some Naive Bayes probability!

This is the third submission for the "Creating Value Through Data Mining" course of my Master's degree in Business Analytics. Featuring MLR, regression trees, and neural nets!

Several ML models were developed with a pre-processed dataset for predicting weight. A Shiny App was created to enable users to run these models in an user-friendly environment.

The idea of this data analysis was originated after completing the Google Data Analytics Certificate.