Practice Week 1: Introduction to Machine Learning & Ecosystem - 1.2 | Module 1: ML Fundamentals & Data Preparation | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define machine learning.

πŸ’‘ Hint: What is the purpose of machine learning?

Question 2

Easy

Name one type of machine learning.

πŸ’‘ Hint: Think about models trained on labeled data.

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 machine learning?

  • A type of data analysis
  • A subfield of AI
  • A programming language

πŸ’‘ Hint: What larger field does machine learning belong to?

Question 2

In which type of machine learning does the model use labeled data?

  • Unsupervised Learning
  • Semi-Supervised Learning
  • Supervised Learning

πŸ’‘ Hint: Think about which approach needs guidance from data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Propose a machine learning project for predicting sales in a retail environment, detailing the workflow.

πŸ’‘ Hint: Refer back to the machine learning workflow we discussed earlier.

Question 2

How can unsupervised learning help improve customer experience in e-commerce?

πŸ’‘ Hint: Think about how customer data can reveal hidden patterns.

Challenge and get performance evaluation