Getting Started
Jupyter Notebooks are the standard environment for data scientists. They allow you to write Python code, execute it cell by cell, and view the outputs (like charts and dataframes) directly inline.
Quick Setup Locally
You'll need Python installed. We recommend using pip to install JupyterLab:
$ pip install jupyterlab$ jupyter lab
Featured Notebook Collections
Explore these practical notebooks covering various ML workflows:
EDA with Pandas & Seaborn
Learn how to clean, profile, and visualize datasets before modeling.
Classical ML Pipelines
End-to-end Scikit-Learn pipelines including preprocessing and grid search.
Don't want to install anything?
You can run all of our notebooks in the cloud for free using Google Colab. Just upload the `.ipynb` file to Colab to get free GPU access and zero-setup required!