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using Python to perform EDA and prediction for the data from Telco-Customer-Churn.csv, WHERE Matplotlob, Seaborn, and Plotly are used for data visualisation. For prediction (classification), different methods are used, such as KNN, Random Forest, Logistic Regression, DNN, and Adaboost.)

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Business-Churn-EDA-and-Prediction

using Python to perform EDA and prediction for the data from Telco-Customer-Churn.csv, WHERE Matplotlob, Seaborn, and Plotly are used for data visualisation.

For prediction (classification), different methods are used, such as KNN, Random Forest, Logistic Regression, DNN, and Adaboost. The principles of these methods are also explained.

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using Python to perform EDA and prediction for the data from Telco-Customer-Churn.csv, WHERE Matplotlob, Seaborn, and Plotly are used for data visualisation. For prediction (classification), different methods are used, such as KNN, Random Forest, Logistic Regression, DNN, and Adaboost.)

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