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 mock test.
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is unsupervised learning?
💡 Hint: Think about whether the data has labels or not.
Question 2
Easy
Name one clustering algorithm.
💡 Hint: What is a basic method to group similar data points?
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 main purpose of unsupervised learning?
- Predict outcomes
- Find hidden patterns
- Optimize models
💡 Hint: What do you want to learn from the data?
Question 2
True or False: K-Means clustering requires knowing the number of clusters in advance.
- True
- False
💡 Hint: Consider if the algorithm can determine clusters itself.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with 1000 movie reviews, each with features such as genre, rating, and user scores. Use clustering to segment the reviews into groups based on similarity, explain which algorithm you would choose and why.
💡 Hint: Consider the characteristics of your data and efficiency.
Question 2
You have a high-dimensional dataset and want to visualize it. Explain how you would apply t-SNE and what its advantages are in this scenario.
💡 Hint: Think about how t-SNE optimizes clusters visually.
Challenge and get performance evaluation