Code for the Udacity ML Engineer Nanodegree Final Project
- The data is provided in the HR_comma_sep.csv file
- The code is written in Python 3.6+ and it is entirely contained in the attached Jupyter Notebook
- Libraries: numpy, pandas, matplotlib (v. 3.1.0) , xgboost, sklearn, seaborn, mpl_toolkits.mplot3d
- Please follow the report that guide the problem solving step-by-step
- All the figures in the report.pdf are generated using the code in the Jupyter Notebook