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 applied three classification algorithms (Logistics, Decision Tree & Random Forest). But I got high accuracy score about 0.97 using random Forest.
- Import Libraries and read data set
- Describe the dataset
- Data Transforamtion / Categorical to Numerical
- Data Cleaning and Feature Selection
- Split the dataset into train and test set
- Machine Learning Modeling
- train the model (Fit)
- Test the trained model (prediction )
- Model Evaluation