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This project aims is to predict whether an employee will leave or remain in the organization depending upon various factors using an ML classification model. Also if the employee leaves, we predict within how much time he/she leaves by using an ML regression model and deploy the Machine Learning model using FLASK.

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MohammedIhsanP/HREmployeeAttritionPrediction-Web-App-Using-Flask

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HREmployeeAttritionPrediction-Web-App-Using-Flask

This project aims is to predict whether an employee will leave or remain in the organization depending upon various factors using an ML classification model. Also if the employee leaves, we predict within how much time he/she leaves by using an ML regression model and deploy the Machine Learning model using FLASK.

Web app Link : http://hremployeeattritionprediction.pythonanywhere.com/

Project Report Link : https://drive.google.com/drive/folders/1p_eBrfKOIsnC-873R-4XPLaB930aQEV9?usp=sharing

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This project aims is to predict whether an employee will leave or remain in the organization depending upon various factors using an ML classification model. Also if the employee leaves, we predict within how much time he/she leaves by using an ML regression model and deploy the Machine Learning model using FLASK.

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