Accéder au contenu principal
AccueilR

Gratuit projet

Customer Analytics: Preparing Data for Modeling

Débutant
Updated 11/2023
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
Démarrer Un Projet Gratuit

Inclus gratuitement

1 Task1,500 XP981

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.
Group

Formation de 2 personnes ou plus ?

Essayer DataCamp for Business

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

R R

Topics

Data Manipulation

Conditions préalables

Categorical Data in the Tidyverse
James Chapman HeadshotJames Chapman

Curriculum Manager, DataCamp

Voir Plus

What do other learners have to say?