Mage Blog

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!

In this Mage Academy lesson, we’ll go over how to expand a category column and see how this can help us understand the data better.

Ranking is a type of machine learning that sorts data in a relevant order. Companies use ranking to optimize search and recommendations.

It seems absurd to add more columns to an already large dataset, right? 👀 (See) how procedurally adding data using existing columns helps the model gain further insight when predicting.

In this Mage Academy lesson on feature engineering, we’ll learn how shifting is used when working with time to calculate the difference between consecutive rows.