Practice Activities - 1.5.2 | 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

What library do we use for data manipulation in Python?

πŸ’‘ Hint: It's a library known for handling DataFrames.

Question 2

Easy

What command would you use to display the first five rows of a DataFrame?

πŸ’‘ Hint: Think about how we can preview 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

Which command is used to load a CSV file in Pandas?

  • pd.load_csv()
  • pd.read_csv()
  • pd.import_csv()

πŸ’‘ Hint: Focus on the functions used to handle data import.

Question 2

True or False: Pandas is a library used for data visualization.

  • True
  • False

πŸ’‘ Hint: Think about what each library is specialized in.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset with missing values, discuss the implications of ignoring these missing values during model training.

πŸ’‘ Hint: Think about how algorithms might react to incomplete data.

Question 2

Imagine you're tasked with inspecting a dataset. Discuss the process you would follow and the specific commands you would use.

πŸ’‘ Hint: Remember the sequence of commands that help you understand the data.

Challenge and get performance evaluation