Machine Learning Exercises
This repository contains the Python programming exercises accompanying the theory from my machine learning book. They are part of the curriculum of the ML for Data Scientists Workshop.
If you have any questions, please send me an email.
Have fun!
Using Python
The programming exercises are written in Python. If you're unfamiliar with Python, you should work through this tutorial.
Using Python on your own computer
The Python tutorial includes some notes on how to install Python and Jupyter Notebook on your own computer.
Please make sure you're using Python 3 and all libraries listed in the requirements.txt file are installed and up to date. You can verify this with the test_installation.ipynb notebook.
Using Google Colab
If you have a Google account, you can also run the code in the cloud using Google Colab:
While Google Colab already includes most packages that we need, should you require an additional library (e.g., skorch for training PyTorch neural networks in notebook 5), you can install a package by executing !pip install package in a notebook cell. With Colab, it is also possible to run code on a GPU, but this has to be manually selected.