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Customer Analytics: Preparing Data for Modeling

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Updated 11/2023
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
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1 Task1,500 XP981

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Project Description

Being able to create predictive models is very cool, but translating fancy models into real business value is a major challenge if the training data isn't stored efficiently.

You've been hired by a major online data science training provider to store their data more efficiently, so they can create a model that predicts if course enrollees are looking for a job. You'll convert data types, collapse factor levels, and filter categorical data so the data is ready for modeling.

Project Tasks

  1. 1
    Convert the data types of each column to store the data more efficiently.

Technologies

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Topics

Data Manipulation
James Chapman HeadshotJames Chapman

Curriculum Manager, DataCamp

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