IBM Telco customer churn prediction
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Updated
Mar 19, 2025 - Jupyter Notebook
IBM Telco customer churn prediction
IBM HR Analytics Dashboard - A comprehensive Power BI dashboard analyzing employee attrition patterns across departments, demographics, and tenure. Features interactive visualizations revealing key insights into workforce retention challenges, with a 16.12% attrition rate affecting 237 employees across various job roles and experience levels.
Telecom Churn Prediction Model using ANN
This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest
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