⚡ ML Preprocessor CLI

The CLI made to preprocess the database and save your time🕐

Gist

Given the database, the CLI provides various options to preprocess the data.
Options:
- Data Description
- Handling NULL Values
- Encoding Categorical Data
- Feature Scaling
We can also DOWNLOAD⬇️ the modified dataset.

Clone this Repository: git clone https://github.com/utkryuk/ML-Preprocessor-CLI.git
cd ML-Preprocessor-CLI/
pip3 install -r requirements.txt
Now run, python3 main.py [Dataset's Path]
Ex: python3 main.py dataset.csv
Then you will see the below home screen.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
__pycache__		__pycache__
screenshots		screenshots
LICENSE		LICENSE
README.md		README.md
categorical.py		categorical.py
data_description.py		data_description.py
data_input.py		data_input.py
download.py		download.py
feature_scaling.py		feature_scaling.py
imputation.py		imputation.py
main.py		main.py
requirements.txt		requirements.txt
train.csv		train.csv