ML Datasets and Notebooks

This repository will be hosting my notebooks for popular datsets practice.

One dataset can have multiple notebooks so hierarchy will based on dataset name.

Tech Stack

• Python 3.6
• Python libraries like numpy, pandas, matplotlib
• ML library scikit-learn
• And other supporting libraries mentioned in requirements.txt like jupyter

System Setup

Setup a Virtual env

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 Dependencies

Install all dependencies using pip and requirements file after activating virtual environment.

pip install -r requirements.txt

Start Project

run jupyter notebook from inside your project root.

Follow the Jupyter UI and open the particular notebook from the dataset.