Growth

The intersection of marketing, product, and data. Strategy within the parameters of a scalable and repeatable method for growth, driven by product, and inspired by data.

Felicia Kuan

Growth

March 16, 2022

Edit: April 19, 2022

Felicia Kuan

Growth

March 16, 2022

Edit: April 19, 2022

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.

Felicia Kuan

Growth

March 9, 2022

Edit: April 19, 2022

Felicia Kuan

Growth

March 9, 2022

Edit: April 19, 2022

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.

Rakhee D.

Guest

March 7, 2022

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”.

Jahnavi C.

Growth

March 2, 2022

Edit: March 28, 2022

Jahnavi C.

Growth

March 2, 2022

Edit: March 28, 2022

In this Mage Academy lesson on feature engineering, we’ll learn about the aggregate functions min() and max(), and see how they’re helpful in analyzing and understanding the data.

Rupesh C.

Guest

February 28, 2022

Edit: April 19, 2022

Rupesh C.

Guest

February 28, 2022

Edit: April 19, 2022

Increasing customer retention is one of the biggest challenges subscription-based businesses and retailers are facing. While there are several things you can do to improve retention rates, predicting customers at risk of leaving and changing their minds is one of the most cost-efficient ways to do so.

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