Descriptions:
Project 1: telecom_churn_prediction.ipynb - Taking Telecom churn data from Kaggle(https://www.kaggle.com/blastchar/telco-customer-churn), This is a Jupyter notebook that showcases, data preprocessing, analysis and visualization prior to model building. I have used classification model to train the data and predict which customers are likely to will churn from the telecom company according to the analysis prepared priorly.
Project 2(ongoing): Goal test.ipynb- fetching the mails received from Netflix from a gmail account, x.csv contains the data after fetching the Netflix emails