Published by SuperDataScience Team
Welcome to the repository for the Machine Learning course by Kirill Eremenko and Hadelin de Ponteves. The codes and datasets are below. Enjoy!
Machine Learning A-Z Course - Downloadable Slides v1.5 Colab Notebooks The whole Machine Learning A-Z folder: Code Templates (.ipynb, .py, R), Datasets and Colour Blind Friendly Images Machine Learning A-Z (Codes and Datasets).zip
Important Note 1: Please download the zip folder above on your machine in order to get all the files, especially the datasets which we will have to upload when training the Machine Learning models. In the practical tutorials you will be guided step by step on how to navigate this folder and start coding in Python & R.
Important Note 2 (Python coders only): In order to open the Python files of this folder with Google Colaboratory, you need to have a Gmail account and sign in to that account. This will automatically open this folder on your Google Drive, which will indeed allow you to open the Python files with Google Colaboratory. Then once you open the file, it will be in read-only mode, so in order to code inside you just have to go to File, and then click "Save a copy in Drive...". This will create a copy of this file on your drive, inside which you will be able to code in Python.
Important Note 3 (Python coders only): If you don't want to code on Google Colaboratory and prefer to code on another Python IDE like Jupyter Notebook or Spyder in Anaconda, you can find all the .ipynb files and the .py files in the zip folder above.
Until then, enjoy Machine Learning!
Hadelin & Kirill
