Guest

Guest authors for Mage! We love guest authors and are always looking for more that want to write about technology or culture to share with our community.

Xiaoxu Gao

July 24, 2023

Xiaoxu Gao

July 24, 2023

Maximize the quality and productivity of your data pipelines.

Rakhee D.

April 5, 2022

Edit: August 31, 2022

Rakhee D.

April 5, 2022

Edit: August 31, 2022

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

Rakhee D.

March 14, 2022

Edit: April 22, 2022

Rakhee D.

March 14, 2022

Edit: April 22, 2022

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.

Jahnavi C.

January 7, 2022

Edit: April 13, 2022

Jahnavi C.

January 7, 2022

Edit: April 13, 2022

Data exploration and analysis is a time-consuming process. We’ll continue to explore the Telco Customer Churn dataset to get a brief overview of data by using the descriptive statistical analysis method.

Jackey Wang

January 5, 2022

Edit: April 13, 2022

Jackey Wang

January 5, 2022

Edit: April 13, 2022

Use part-of-speech tagging and n-gram models to analyze high-frequency words in Shakespeare's Sonnet

Jahnavi C.

December 29, 2021

Jahnavi C.

December 29, 2021

We will explore the Telco Customer Churn dataset to understand different types of features and find missing values in the dataset.

Jewel Hayes

December 23, 2021

Edit: April 22, 2022

Jewel Hayes

December 23, 2021

Edit: April 22, 2022

AI technology is the new frontier, and small businesses need it to get ahead. Here are 4 ways small businesses can leverage AI.

Jahnavi C.

December 16, 2021

Edit: December 29, 2021

Jahnavi C.

December 16, 2021

Edit: December 29, 2021

In this blog we'll implement the first 3 steps on a customer dataset for Churn Prediction.

Jahnavi C.

December 10, 2021

Edit: April 22, 2022

Jahnavi C.

December 10, 2021

Edit: April 22, 2022

Let’s take a look at the different steps to build a prediction model and go over the what, when, why, and how people accomplish them.