A comprehensive application for data cleaning, preprocessing, feature engineering, and encoding - designed for data science students, data analysts, and machine learning professionals.
- Data Cleaning: Remove special characters, handle missing values, standardize formats
- Feature Engineering: Create interaction features, polynomial features, datetime extraction
- Encoding: Label encoding and one-hot encoding for categorical variables
- File Support: CSV, Excel, JSON, Text files
- Batch Processing: Process multiple files simultaneously
- Smart Merging: Automatic merging based on common columns
- Multiple Export Formats: CSV, Excel, JSON
- Machine Learning Ready: Outputs cleaned data ready for ML models
- Data Analytics: Prepares data for exploratory analysis and visualization
# Clone the repository
git clone https://github.com/ahmedkansulum/DataPrep-Pro.git
cd DataPrep-Pro
# Install dependencies
pip install -r requirements.txt
# Run the application
python src/main.py