Question

Section-2: ML Data Preprocessing Concepts a. What is normalization and why is it important? b. How do outliers affect normalization and model performance? (Discuss how extreme values distort.) c. What are duplicate records in a dataset, and why should they be removed before training a machine learning model?

Name: section 2 ml data preprocessing concepts a what is normalization and why is it important b how do outliers affect normalization and model performance discuss how extreme values distort c wha 04493
Uploaded: 2024-11-04T07:59:50-08:00
Duration: 3 min 12 s
Channel: Jennifer Stoner
Description: section 2 ml data preprocessing concepts a what is normalization and why is it important b how do outliers affect normalization and model performance discuss how extreme values distort c wha 04493

          Section-2: ML Data Preprocessing Concepts
a. What is normalization and why is it important?
b. How do outliers affect normalization and model performance?
(Discuss how extreme values distort.)
c. What are duplicate records in a dataset, and why should they be removed before
training a machine learning model?

Added by Joshua V.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Jennifer Stoner

11/04/2024

Step 1

What is normalization and why is it important? - Definition: Normalization is the process of rescaling numeric features to a common scale, typically within a specified range (e.g., 0 to 1) or to have a standard distribution (e.g., mean 0, standard deviation 1). - Show more…

Show all steps

Thanks for your feedback!

Section-2: ML Data Preprocessing Concepts a. What is normalization and why is it important? b. How do outliers affect normalization and model performance? (Discuss how extreme values distort.) c. What are duplicate records in a dataset, and why should they be removed before training a machine learning model?