Understanding Target and Features for classification
Understanding Target and Features for classification Data Science Project
Introduction to Supervised Learning with scikit-learn

Understanding Target and Features for classification

During this lab, we will practice your skills in identifying target and feature variables for classification problems.
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Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

multiplechoice

What is the role of feature variables in a classification problem?

multiplechoice

Which of the following best defines the target variable in a classification problem?

multiplechoice

In a binary classification problem to predict whether a customer will churn or not, what would be the target variable?

multiplechoice

Given a dataset with information about customers of an e-commerce website. The goal is to predict whether a customer will make a purchase or not based on their characteristics. Identify the target variable and the features variables in this scenario.

multiplechoice

Identify the target variable for this problem

codevalidated

Separate the target and the features into two variables.

Store the features in X and the target y.

There are different ways to approach this task; however, in order to pass, 'y' should be a series and 'X' a dataframe.

multiplechoice

Based on previous tasks identify if this problem is a binary of multiclass classification problem

Understanding Target and Features for classificationUnderstanding Target and Features for classification
Author

Verónica Barraza

This project is part of

Introduction to Supervised Learning with scikit-learn

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