Mage Blog

In this Mage Academy lesson, we’ll be going over how to evaluate ranking models built for recommendation & personalization using mean average precision at K.

In this Mage Academy guide, we’ll go over how to evaluate a machine learning (ML) model and learn how to improve the model’s performance.

Creating a machine learning model that can predict the mood of Taylor Swift songs.

We’ll go over a standard supervised classification task. A classification problem where we predict whether a loan should be approved or not.

Youtube's recommendation algorithm offsets the need for search as it delivers users a personalized ranking of relevant videos on their feeds.

Channel your inner scholar and Ryze to the top – leverage machine learning ranking models that can increase your rank in League of Legends through match analysis and predictions, free of code!

In this Mage Academy lesson, we’ll build a model to classify the genre of a song based on the given attributes.

In this lesson from Mage Academy, we’ll look at one method of data cleaning, filter. Learn how to filter numbers, words, and just about anything in order to reduce bias in your dataset.

ML tools make it possible to predict and prevent churn before it occurs. Churn prediction is used to identify areas of improvement and maintain happy customers.

Occasionally, columns contain pesky JSON objects that require parsing. Work smarter, not harder– learn how we can create features from a column of JSON values!