This is the repository I created during my personal learning journey throughout machine learning to nail down the concepts I found.
It's mainly designed for my personal use, however you might find it useful (and I'll be glad if you do!).
As of Jul 21, 2020 there are several projects:
This project is the implementation of a neural network created form the scratch that predicts the result of an OR operation between two elements, either 1 or 0.
During the 40th week of october I assisted to a 10h ML introductory course at the Basque Center of Applied Mathematics. Here's the content I collected so far.
First steps on Bayes Theorem and bayesian inference.
A hands on approach to ML, for the moment playing with Titanic Challenge
Everything gets done by simply installing the dependencies listed in the requirements file in a virtual environment
$ pip install -r requirements.txt