Practice Understanding Pandas for Machine Learning - 4 | Chapter 4: Understanding Pandas for Machine Learning | Machine Learning Basics
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What command do we use to install Pandas?

πŸ’‘ Hint: Think about Python package management.

Question 2

Easy

How do you select a column named 'Age' from a DataFrame?

πŸ’‘ Hint: Remember how we access dictionary keys.

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 the Pandas library?

  • Machine Learning
  • Data Manipulation
  • Web Development

πŸ’‘ Hint: Think about what tasks Pandas supports.

Question 2

The function pd.read_csv() is used to:

  • True
  • False

πŸ’‘ Hint: Remember what we do with CSV files.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset of student scores, write a code to create a new DataFrame that includes only students who scored above 70. Also, include their average score.

πŸ’‘ Hint: Use filtering and then the mean function!

Question 2

You have sales data for multiple stores. Write a code to group the sales data by store and find the total sales for each store, and then sort them from highest to lowest sales.

πŸ’‘ Hint: Start with grouping and then apply summation!

Challenge and get performance evaluation