Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is normalization?
💡 Hint: Think of how values are limited to a specific range.
Question 2
Easy
What is the primary goal of standardization?
💡 Hint: Consider the shape of a normal distribution.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the purpose of normalization in feature scaling?
- To reduce variance
- To bring all features to a common scale
- To eliminate missing values
💡 Hint: Think about how different features are represented numerically.
Question 2
True or False: Standardization rescales data based on the maximum feature value.
- True
- False
💡 Hint: Remember how data is centered in statistical terms.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with 'Height in cm' and 'Weight in kg'. How would you decide whether to normalize or standardize this data before using it in a machine learning model?
💡 Hint: Consider ranges and distributions of the features.
Question 2
Create a small dataset containing two features: Age and Salary. Demonstrate how to apply both normalization and standardization using code, explaining your steps.
💡 Hint: Ensure to use respective scaling libraries.
Challenge and get performance evaluation