Mage Blog

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.

Deploying methods of deep learning, AI, and ML, Pinterest is able to customize every user experience, maintaining their high engagement and retention.

In this Mage Academy lesson on data cleaning, we’ll learn how to sort out our mess– I mean– row data in one or more columns by ascending and descending order.

Amazon's use of artificial intelligence (AI) and machine learning (ML) has led to its success as a retail giant and to provide exceptional customer experience.

When you are working on a project, generally you collect data from several sources. Suppose you need to combine two datasets (tables, dataframes, etc.), like rows and columns of a table. To do this we will use the “join” operation of “Pandas”.