Practice Tools and Libraries - 30.6.2 | 30. Introduction to Machine Learning and AI | Robotics and Automation - Vol 2
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

30.6.2 - Tools and Libraries

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.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Python primarily used for in AI and ML?

💡 Hint: Think about the characteristics of Python that make it unique.

Question 2

Easy

Name one advantage of using Scikit-learn.

💡 Hint: Consider what Scikit-learn simplifies.

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

Which programming language is most widely used in AI and ML?

  • Java
  • Python
  • C++

💡 Hint: Remember the language popular for its ease of use.

Question 2

True or False: Keras runs only with TensorFlow.

  • True
  • False

💡 Hint: Think about what Keras was developed for.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple machine learning model using Scikit-learn to classify whether a material is suitable for construction based on given properties. Explain your approach.

💡 Hint: Think about the importance of data preparation and algorithm choice.

Question 2

Using Keras, formulate an approach to develop an image classification model for identifying different types of construction materials in pictures. Discuss the layers you would include.

💡 Hint: Focus on leveraging convolutional neural networks for image tasks.

Challenge and get performance evaluation