My Learning Cart
?
Categories
Account

In feature engineering, what does 'one-hot encoding' achieve?

₹0.0
Login to Download
  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: In feature engineering, what does \'one-hot encoding\' achieve?

Options:

  1. It reduces the dimensionality of the dataset
  2. It converts categorical variables into a numerical format
  3. It normalizes the data
  4. It increases the number of features exponentially

Correct Answer: It converts categorical variables into a numerical format

Solution: 

One-hot encoding transforms categorical variables into a binary matrix, making them suitable for machine learning algorithms.

In feature engineering, what does 'one-hot encoding' achieve?

Practice Questions

Q1
In feature engineering, what does 'one-hot encoding' achieve?
  1. It reduces the dimensionality of the dataset
  2. It converts categorical variables into a numerical format
  3. It normalizes the data
  4. It increases the number of features exponentially

Questions & Step-by-Step Solutions

In feature engineering, what does 'one-hot encoding' achieve?
  • One-Hot Encoding – One-hot encoding is a technique used to convert categorical variables into a binary format, where each category is represented as a vector with a single high (1) and the rest low (0) values.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks