Completed Machine Learning Code Exercises in Python

This repository contains completed Machine Learning code exercises in Python from the published book by Danish Haroon (2017).

🧰 Prerequisites

1. Create and activate a Python virtual environment: python -m venv env.
2. Install all required packages in requirements.txt: pip install -r requirements.txt.
3. Create the according IPython kernel for Jupyter: python -m ipykernel install --user --name=env.

Run Notebooks

1. Open Jupyter Notebook: jupyter notebook and select the created kernel env.
2. You can now run the exercises in the notebooks.

❕Note

Python version (3.11.2) is newer than the configured version in the book.

🗃️ References

1. Danish Haroon. *Python Machine Learning Case Studies - Five Case Studies for the Data Scientist*. Springer Science+Business Media New York, 2017. ISBN 978-1-4842-2822-7. Link to book.