Mage Blog

Starbucks uses machine learning (ML) to recommend relevant products to their customers and improve business function. Their success shows ML’s power in transforming any business.

In this Mage Academy lesson on feature engineering, we’ll be covering how we’d group rows by values in a feature to find the average of each group.

Airbnb uses various modes of ranking models to increase product personalization. Early-deployment of machine learning (ML) was a key factor to the product's success.

In this Mage Academy lesson on data cleaning, we’ll go over variance in detail and see how to identify and remove low variance columns from a dataset.

In this Mage Academy lesson on data cleaning, we’ll learn how to remove columns and discuss various scenarios in which it's necessary to remove columns from a dataset.

In this Mage Academy lesson on feature engineering, we’ll learn about how we’d aggregate, or sum up, values by group to find total items sold.

TikTok uses machine learning (ML) algorithms to curate their For You feed. The feed is personalized to every user's unique interests and interactions with TikTok's content.

In this Mage Academy lesson on feature engineering, we’ll learn about category value mapping, also known as encoding in Data science, is used to assist machines in understanding the meaning behind the information given.

In this Mage Academy lesson on model training, we’ll learn how to split your data for training and testing your machine learning models with K Fold Cross Validation.

In this Mage Academy lesson on model evaluation, we’ll learn how to calculate Mean absolute error (MAE).