Using Random forest to predict employee turnover
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Updated
Aug 8, 2020 - Jupyter Notebook
Using Random forest to predict employee turnover
The aim of this project is to identify fraudulent credit card transaction using Neural Networks.
Built several predictive machine learning algorithm to predict customer churn.
our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.
This repository contains the dataset and a python file. The python file contains basic EDA, Label encoding, and Modelling using Logistic Regression. ROC analysis is also included.
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