Supervised algorithms were used in this project to predict customer churning in a telecommunication company
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
- Jupyter Notebook
- Python version: 3.6.4
- Anaconda version: 4.4.10
- 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