This repository contains all the code that I implemented in the Machine Learning and DataScience course organized by the SPEGC and the EOI. Warning: The major part of it is in spanish.
This part of the course was imparted by Carlos Santana, best known for his YouTube channel Dot CSV
In this part we learn how techniques like Linear Regressions, KNN, K-means, NN, CNN, Autoencoders and LSTM works. All the practices are listed here
This subject was teached by Israel Estéves. We practice with Qlik, D3 and handling data with python. An exercise we made about airplanes path is uploaded here
Also Israel and José Luis González helped as with the final project, that tries to predict if a Kickstarter will succeed or not.