⚡ ML Preprocessing CLI
A beginner-friendly Command-Line Interface (CLI) tool to automate essential data preprocessing tasks in machine learning workflows — from missing value handling to encoding and feature scaling.
🎯 Features
- 📊 Dataset summary and null value statistics
- 🧹 Missing value handling (drop or impute)
- 🧠 Categorical encoding (Label Encoding, One-Hot Encoding)
- 📏 Feature scaling (Standard or Min-Max)
- 📥 Export cleaned dataset to CSV
- 🧪 Interactive terminal menu — no notebook required!
🧰 Installation
Make sure you have Python 3.10+ installed.
git clone https://github.com/mohakamitpatel/ML_Preprocessing_CLI.git
cd ML_Preprocessing_CLI
pip install -r requirements.txt
🗂️ Project Structure
📂 ML_Preprocessing_CLI
├── data/ → Sample datasets (optional)
├── data_input.py → Reads the dataset
├── data_description.py → Summarizes the dataset
├── imputation.py → Missing value imputation
├── categorical.py → Encoding categorical features
├── feature_scaling.py → Feature scaling logic
├── download.py → Saves the cleaned dataset
├── main.py → CLI entry-point
└── requirements.txt → Required Python libraries
💻 How to Use
Run the CLI from the terminal:
python main.py
You will be guided through a step-by-step menu to:
- Upload dataset
- Handle missing values
- Encode categorical variables
- Scale features
- Download processed file
🔍 Example Usage
$ python main.py
📁 Please enter the path to your CSV file: data/sample.csv
✅ Dataset Loaded!
Choose an option:
[1] Describe Data
[2] Handle Missing Values
[3] Encode Categorical Features
[4] Scale Features
[5] Export Cleaned Data
📦 Dependencies
- pandas
- numpy
- scikit-learn
- tabulate
- termcolor
Install via:
pip install -r requirements.txt
🎥 Demo Preview
💡 Future Ideas
- Add support for command-line arguments
- Integrate GUI using Tkinter or Streamlit
- Auto EDA with visualizations
- Upload directly from URL or cloud storage
🤝 Contributing
Pull requests are welcome!
If you have suggestions or find bugs, feel free to fork and improve.
✌️ Peace out. Built with code, not caffeine — Mohak