#Python Packages needed to run notebook:
numpy
pandas
pandas_profiling
sklearn
xgboost
matplotlib
seaborn
#Note:
#Observations.docx: contains observations about the data after EDA.
#Steps.docs contains: list of steps taken to perform EDA, Feature Selection and ML Model.
#Customer Churn.ipynb: contains all the python code.