CSE343, Machine Learning Course Project, IIIT Delhi, Monsoon 2021
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Sep 18, 2023 - Jupyter Notebook
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employee-attrition
Here are 40 public repositories matching this topic...
This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management
python data-science data-visualization python3 introduction human-resource-analytics employee-attrition
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May 20, 2019 - Jupyter Notebook
This project involves Employee Attrition Prediction using various data visualisation techniques & machine learning models. The repository consists of the .ipynb file and files used for deploying the ML model on 'Heroku' using the Flask framework.
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Jul 6, 2024 - Jupyter Notebook
This project is a machine learning classification problem. The objective of this project was to predict the rate of employee attrition in the current scenario based on different features. It was the classification problem. I tried three algorithms (Logistics, Decision Tree & Random Forest). But I got high accuracy score about 0.97 using random F…
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Aug 5, 2020 - Jupyter Notebook
Bill Gates was once quoted as saying, "You take away our top 20 employees and we [Microsoft] become a mediocre company". This statement by Bill Gates took our attention to one of the major problems of employee attrition at workplaces. Employee attrition (turnover) causes a significant cost to any organization which may later on effect its overal…
machine-learning neural-network random-forest sklearn mnist decision-tree-classifier svm-classifier logi adaboost-learning employee-attrition
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Apr 24, 2020 - Jupyter Notebook
In this project, the team strives to use machine learning principles to predict employee attrition, provide managerial insights to prevent attrition, and finally rule out and present the factors that lead to attrition.
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Feb 1, 2021 - Jupyter Notebook
Uncover the factors that lead to employee attrition using IBM Employee Data
random-forest logistic-regression decision-trees decision-tree-classifier attrition employee-attrition
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Jul 23, 2019 - Jupyter Notebook
In this project I did Complete EDA, and Build a ML model that can accurately predict whether an Employee will be leave a company or not based on different factors.
machine-learning employee-attrition employee-attrition-prediction machine-learning-pipeline employee-attrition-dataset employee-attrition-analysis
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Jul 10, 2024
Clustering employee performances to predict resignation likelihood and develop strategies for employee retention
machine-learning clustering classification lightgbm catboost knn-classifier employee-attrition employee-performance resignation
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May 27, 2024 - Jupyter Notebook
Uncover the factors that lead to employee attrition at IBM
machine-learning analysis random-forest decision-tree attrition pandas-profiling smote classification-model gridsearchcv employee-attrition ibm-hr-attrition
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Oct 27, 2019 - Jupyter Notebook
Predicting why employees are leaving organization & building a model to predict in future, who will leave the company.
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Oct 12, 2020 - Jupyter Notebook
HR Analytics in R Script: "Why Employees leave the company?"
markdown r rmarkdown nps logistic-regression decision-tree employee-engagement rscript turnover employee-attrition
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Aug 6, 2021 - R
Final presentation project for completing Rakamin Academy Data Science Bootcamp.
data-science machine-learning beginner-project classification data-analysis beginner-friendly presentation-slides employee-attrition
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Jun 24, 2022 - Jupyter Notebook
Understanding and predicting employee's attrition
exploratory-data-analysis classification logistic-regression descriptive-analysis employee-attrition
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Aug 17, 2021 - R
This project focuses on predicting the attrition rate of employees by using different ML algorithms. The dataset is a fictional data taken from Kaggle
naive-bayes machine-learning-algorithms logistic-regression decision-trees employee knn-classification employee-attrition
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Sep 1, 2022 - R
This project analyzes employee attrition at Salifort Motors using machine learning and data analytics to identify key turnover drivers. The analysis spans data cleaning, exploratory data analysis (EDA), predictive modeling (logistic regression, decision trees, random forest, and XGBoost), and actionable HR recommendations.
data-science machine-learning exploratory-data-analysis business-intelligence feature-engineering predictive-modeling human-resource-analytics employee-attrition
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Feb 26, 2025 - Jupyter Notebook
RetenX is a Flask-based web app for predicting employee attrition using machine learning. It analyzes HR data, provides insights via interactive visualizations, and offers personalized retention strategies. Features include single/batch predictions, model comparisons, historical trend analysis.
javascript css python html flask data-science machine-learning prediction data-visualization data-analysis employee-retention employee-attrition
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Apr 5, 2025 - Python
PREDICTIVE ANALYTICS - LOGISTIC REGRESSION . Predicting employee attrition using HR data
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Aug 21, 2020 - Jupyter Notebook
An employee attrition prediction (machine learning) project
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Feb 12, 2023 - R
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