IBM Telco customer churn prediction
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Updated
Mar 19, 2025 - Jupyter Notebook
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ibm-dataset
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Telecom Churn Prediction Model using ANN
python tensorflow keras versioning neural-networks classification artificial-neural-networks keras-models churn-prediction pyhton3 telecom-churn-prediction ibm-dataset
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Updated
Aug 20, 2025 - Jupyter Notebook
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
random-forest numpy naive-bayes sklearn machine-learning-algorithms plotly jupyter-notebook pandas seaborn scipy data-analysis matplotlib predictive-modeling decision-tree machine-learning-models customer-churn-prediction churn-prediction-models ibm-dataset
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Updated
May 16, 2025 - Jupyter Notebook
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