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Customer Analytics: Preparing Data for Modeling

BasicSkill Level
4.8+
26 reviews
Updated 11/2023
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
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RData Manipulation1 hr1 Task1,500 XP

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Project Description

Customer Analytics: Preparing Data for Modeling

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.

Customer Analytics: Preparing Data for Modeling

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
Start Project
  • 1

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

Don’t just take our word for it

*4.8
from 26 reviews
85%
15%
0%
0%
0%
  • Walter del Valle
    15 days

    El proyecto es interesante

  • Darrell
    25 days

  • Silvio
    about 1 month

  • Silvio
    about 1 month

  • Diego Javier
    about 2 months

    Great

  • Anton
    about 2 months

Darrell

Silvio

Silvio

FAQs

    Join over 18 million learners and start Customer Analytics: Preparing Data for Modeling today!

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    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.