This repository contains the exercises you'll work during the course "Resolving Python for Machine Learning with Scikit-Learn".
You may use the exercises to practice on your own; challenges, datasets and solutions are provided.
Within every folder, you will find 2 types of Jupyter Notebooks:
- A: Blank notebook to be completed after you watch the respective tutorial of the digital course.
- C: Blank notebook to be completed as a homework.
- B & D files are the solutions to notebooks A & C, respectively.
❌ If you copy-paste the solutions, you will not learn anything.
✅ It is very important you work on the notebooks as we explain in the digital course to acquire the mental models and the skills you will use in any other data project.
If you want to showcase your work on this course as a portfolio, don't forget to fork this repository to create a copy on your profile.
Learn how to build a portfolio in GitHub in this YouTube playlist.