This AD&D Churn Analysis and Modeling report describes:
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Factors that are important for increasing retention
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A mathematical model developed for monthly prediction of churn
This report investigates the retention/churn of the fictional telecom company AD&D.
..
├── assets
│ ├── ADD-Logo.jpg
│ ├── churn_eda_profiling_report.html
│ └── config_default.yml
├── data
│ ├── processed
│ │ └── mcc_clean_churn.csv
│ └── raw
│ ├── churn.all2
│ └── churn.all2.tar.bz2
├── notebooks
│ ├── 1_Telecommunications_Churn_Analysis_And_Modeling.ipynb
│ ├── ADD_EDA_Histograms.ipynb
│ ├── ADD_EDA_Pearson_s_Pairwise_Correlation.ipynb
│ ├── ADD_EDA_Pie_Chart.ipynb
│ ├── ADD_Initial_Data_Analysis.ipynb
│ ├── ADD_PCA_Bigram_Using_Erdogant_Library.ipynb
│ ├── ADD_PCA_Bigram_Using_skelarn.decomposition_Plotly.ipynb]
│ ├── ADD_Testing Pandas Profiling Library For EDA.ipynb
│ ├── Churn_Logistic_Regression_Modeling.ipynb
│ ├── Logistic_Regression_Grid_Search.ipynb
│ ├── Random_Forest_Model.ipynb
│ └── XGBoost_Model.ipynb
└── README.md
5 directories, 19 files