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CUSTOMER CHURN ANALYSIS FOR A TELECOMMUNICATION COMPANY

Supervised algorithms were used in this project to predict customer churning in a telecommunication company

Dataset:

I will use Telcom Customer Churn dataset, which is available at http://www.kaggle.com. The data was downloaded from IBM Sample Data Sets https://www.ibm.com/communities/analytics/watsonanalytics- blog/guide-to-sample-datasets/. The dataset provides 7043 customers information in 21 columns. We have both numerical and categorical type of information in this dataset

Software

  • Jupyter Notebook
  • Python version: 3.6.4
  • Anaconda version: 4.4.10

Python Libary

  • pandas
  • numpy
  • matplotlib
  • seaborn
  • sklearn.preprocessing
  • from sklearn.tree
  • sklearn.linear_model
  • sklearn.svm
  • xgboost
  • sklearn.ensemble
  • sklearn.metrics
  • sklearn.metrics
  • sklearn.metrics
  • sklearn.grid_search
  • sklearn.utils
  • sklearn.ensemble