This article, which is the second part of my Spotify series, is about exploring my music taste using unsupervised learning. You can read it here: https://towardsdatascience.com/discovering-similarities-across-my-spotify-music-using-data-clustering-and-visualization-52b58e6f547b

In this article I am comparing my music tastes with those of my girlfriend. The analysis include topics such as exploratory data analysis, supervised learning and some fun topics. The article can be found at: https://towardsdatascience.com/is-my-spotify-music-boring-an-analysis-involving-music-data-and-machine-learning-47550ae931de

This project is about Facebook Messenger chatbot I built that trains a k-nearest neighbor model. Link to the article: https://chatbotnewsdaily.com/doing-machine-learning-k-nearest-neighbors-in-a-messenger-chatbot-58f0d261a17f

This blog post explains how I built a convolutional neural network to predict the type of a given Pokemon. The whole story is available at: https://medium.com/@jdiossantos/pokemon-colors-and-deep-learning-95fb715be46

-------------------------------------------------------------------------------- (this story was originally published on Medium: https://medium.com/@jdiossantos/9-days-of-pokemon-go-a-statistical-analysis-3bbad8aaedc2 ) Pokemon Go is finally out. Like every 90’ kid (and as a huge fan of the series), I have spent a considerable amount time catching our beloved digital creatures. However, besides spending battery life and swiping my