Deep Learning has revolutionized the Machine Learning scene in the last years. Can we apply it to image compression? How well can a Deep Learning algorithm reconstruct pictures of kittens? What’s an autoencoder?
FuzzyWuzzy is a Python library used for measuring the similarity between two strings. Here’s how you can start using it too.
Today we’ll use XGBoost Boosted Trees for regression over an official HDI dataset. Who said Supervised Learning was all about classification?
This project combines two of my passions: Magic: The Gathering and Machine Learning. Let’s see how they mix with this recommender system!
Unsupervised Learning has been called the closest thing we have to “actual” Artificial Intelligence, in the sense of General AI.
K-Means Clustering is one of its simplest, but most powerful applications.
When doing Statistical Analysis, curiosity and intuition are two of a Data Scientist’s most powerful tools. The third one may be Pandas.
Today we’ll leverage Python’s Pandas framework for Data Analysis, and Seaborn for Data Visualization. Sometimes when facing a Data problem, we must first dive into the Dataset and learn about it. Its properties, its variables’ distributions — we need to immerse in the domain.