Customer Churn Prediction in Telecom Industry || VIP || IEEE || HYD ||

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CONTACT:VENKAT INNOVATIVE PROJECTS
NAME: VENKATARAO GANIPISETTY
Mobile & WhatsApp :+91 9966499110
Mobile & WhatsApp :+91 9573201550
Email :[email protected]
Email :[email protected]
website:https://venkatinnovativeprojects.com/
About Project:
In this project as per your instructions we have used JUPYTER tool for data visualization, analysis, processing, training and testing. We have used Django web framework for category wise churn visualization and for prediction on sample test data.
We have evaluated performance of multiple ML algorithms such as Random Forest, Logistic Regression and MLP neural network. Each algorithm performance is evaluated in terms of accuracy, precision, recall and FSCORE. Among all algorithms Random Forest is giving high accuracy so we employed same model for test data prediction.
To train and test above algorithms we have used same dataset given by you and in below screens showing JUPYTER code and output with blue colour comments