Slides and Notebooks based on a series of Lectures I gave in 2016 at AIMS Senegal titled "Introduction to Big Data and Machine Learning." It is a gentle introduction to the world of machine learning focusing first on simple classification to move to more advanced topics trying to cover essential knwoledge in the field.
I am considering this as a long term project getting better with time... If it looks a bit short at the moment it's normal, the folder will be updated regularly (hopefully) to cover several basic concepts and algorithms of the Machine Learning field. Most lecture have a corresponding jupyter notebook (Python3) illustrating the contents.
If you want to fully enjoy the notebooks make sure all requirements are installed by running :
pip3 install -r requirements.txt
Comments, critics and feedback are more than welcome!!!