Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow (3rd edition)

Repo of the "Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow (3rd edition)" book.

This is the Jupyter notebooks for the book. The official GitHub repository for the book can be found here.

How to use these notebooks?

Run the notebooks on your local machine, you can clone this repository, install the required dependencies, and start a Jupyter notebook server. To do this, follow the instructions below:

1. Clone the repository by running:

   git clone https://github.com/msosav/book-hands-on-machine-learning
   cd book-hands-on-machine-learning

2. Create a virtual environment by running:

   python -m venv venv
   source venv/bin/activate

3. Install the required dependencies by running:

   pip install -r requirements.txt

4. Start the Jupyter notebook server by running:

   jupyter notebook

   Or if you are using Visual Studio Code, you can open the notebooks directly in the editor.

Note

You need to select the Python interpreter in the virtual environment you created in step 2 in the kernel of the Jupyter notebook.