Mage Blog

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).

By using various modes of machine learning (ML), Spotify revolutionized the way their subscribers discover and consume music.

In this Mage Academy lesson on feature engineering, we’ll learn about how we’d parse and extract contents of a column at a particular index for the purpose of simplifying or specifying the information in a separate column.

In this Mage Academy lesson on model evaluation, we’ll learn how to calculate F1 score and what it means.

Our SOC 2 compliance certifies Mage as a trusted platform for managing customer data, confirming to current and future customers that Mage upholds the highest level of data privacy and protection.

In this Mage Academy lesson on data cleaning, we’ll learn how to remove duplicate row entries of a column value in Pandas.

In this blog, we’ll explore discrete and categorical features in the Telco Customer Churn dataset using univariate graphical methods.

We explore how Netflix uses machine learning (ML) to customize each subscriber’s homepages to display the most relevant content.