This repository will be hosting my notebooks for popular datsets practice.
One dataset can have multiple notebooks so hierarchy will based on dataset name.
- Python 3.6
- Python libraries like
numpy, pandas, matplotlib
- ML library
scikit-learn
- And other supporting libraries mentioned in requirements.txt like
jupyter
Install Virtual Environment
pip install virtualenv
Create Virtual Environment
virtualenv <directory-name> -p python3.6
Activate Virtual Environment
source <directory-name ref>/bin/activate
Install all dependencies using pip and requirements file after activating virtual environment.
pip install -r requirements.txt
run jupyter notebook
from inside your project root.
Follow the Jupyter UI and open the particular notebook from the dataset.