GitHub - ZAABY/Data-Classification-and-Visiualization: This project features classification using Decision Tree, Random Forest, SVM, AdaBoost, GradientBoosting, Logistic Regression, XGBoost, and CatBoost. It includes data preprocessing, model evaluation, and visualization with Matplotlib, Seaborn, and Plotly, providing insights for ML enthusiasts and practitioners.

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This project features classification using Decision Tree, Random Forest, SVM, AdaBoost, GradientBoosting, Logistic Regression, XGBoost, and CatBoost. It includes data preprocessing, model evaluation, and visualization with Matplotlib, Seaborn, and Plotly, providing insights for ML enthusiasts and practitioners.

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Data_Classificiation_and_Visualization.ipynb		Data_Classificiation_and_Visualization.ipynb
WA_Fn-UseC_-Telco-Customer-Churn (1).csv		WA_Fn-UseC_-Telco-Customer-Churn (1).csv