Lesson

Is your model performing better than expected? Double-check if there’s data leakage that is inflating the accuracy and incorrectly evaluating your model performance!

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.

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

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 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.

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.

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.

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.