HR Analytics for Sailfort Motors

This GitHub repository contains a comprehensive HR analytics project aimed at showcasing expertise in data science, particularly in the domains of data analysis, visualization, statistical modeling, and machine learning.

Purpose

The purpose of this repository is to demonstrate proficiency in HR analytics through a real-world project scenario. By leveraging various data science techniques and machine learning algorithms, insights are derived to aid decision-making processes related to employee retention and churn prediction.

Contents

• HR_Sailfort_dataset.csv: Dataset containing relevant HR metrics for analysis.
• Sailfort Motors.ipynb: Jupyter Notebook containing the complete project code, including data preprocessing, exploratory data analysis (EDA), model development, and evaluation.
• boost_grid.pickle: Serialized pickle file storing the tuned parameters of the XGBoost model from the first round of hyperparameter tuning.
• boost_grid_2.pickle: Serialized pickle file storing the tuned parameters of the XGBoost model from the second round of hyperparameter tuning.
• forest_grid.pickle: Serialized pickle file storing the tuned parameters of the Random Forest model from the first round of hyperparameter tuning.
• forest_grid_2.pickle: Serialized pickle file storing the tuned parameters of the Random Forest model from the second round of hyperparameter tuning.
• tree1_grid.pickle: Serialized pickle file storing the tuned parameters of the Decision Tree model from the first round of hyperparameter tuning.
• tree2_grid.pickle: Serialized pickle file storing the tuned parameters of the Decision Tree model from the second round of hyperparameter tuning.

Usage

To explore the project:

1. Open the Jupyter Notebook file Sailfort Motors.ipynb.
2. Ensure that the required dependencies are installed.
3. Run the notebook to execute the code and visualize the analysis results.

Feedback and Contributions

Your feedback and contributions to enhance this project are highly appreciated. Feel free to reach out with any suggestions or improvements.

Links

• GitHub Repository: Sailfort Motors HR Analytics
• Kaggle Project: HR Analytics for Sailfort Motors

Thank you for your interest and support in advancing HR analytics practices.