About Telecom Customer Churn Prediction using Python, Pandas, NumPy, Scikit-learn, and Streamlit. Performed data cleaning, EDA, feature engineering, and Logistic Regression to predict customers likely ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Heatmaps and cluster aggrupation (Figs. 1 A and 3 A and SI Appendix, Fig. S13) were calculated using “ggplots” R package version 3.0.3. Clusters in Figs. 1 A and 3 A were computed using Euclidean ...