Telecom Customer segmentation and Churn Prediction

The data for this modeling has been taken from Kaggle https://www.kaggle.com/jpacse/datasets-for-churn-telecom

1. Download from the above kaggle site the files cell2cellholdout.csv and cell2celltrain.csv
2. Place them inside telecom/data directory
3. Install the following libraries as pip install : a. sklearn b. yellowbrick c. numpy d. pandaas e. matplotlib f. dabl g. plotly h. seaborn i. missingno j. autoviz k. seaborn

Inside notebooks folder:

4. Notebook telecom_customer_segmentation.ipynb does Exploratory Data Analysis and K-Means Clustering (with /without PCA)
5. Notebook telecom_customer_churn_prediction.ipynb does customer churn prediction using different classification algorithms