This repository serves as a collection of data science practice projects focused on business domain problems. The projects showcase various analytical techniques, machine learning models, and business insights.
- Online Retail Customer Segmentation
- EDA and KMeans Clustering (later) Notebook Link
- Dataset: Online Retail II
- Focus: Customer segmentation and behavior analysis
- Status: In Progress
- Employee Attrition Prediction
- EDA and Classification Models (later)
- Dataset: IBM HR Analytics Employee Attrition & Performance
- Focus: Predicting employee attrition and identifying key factors
- Status: In Progress
More projects will be added as the practice continues...
This repository is created to:
- Practice data science techniques in business contexts
- Document learning progress
- Showcase problem-solving approaches in business analytics
- Experiment with different machine learning models
This project is licensed under the MIT License. See the LICENSE file for details.