Practice Understanding Pandas For Machine Learning (4) - Chapter 4: Understanding Pandas for Machine Learning

Practice: Understanding Pandas for Machine Learning

Lesson 4Understanding Pandas for Machine Learning

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11 questions

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5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What command do we use to install Pandas?
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Think about Python package management.
Question 2.
How do you select a column named 'Age' from a DataFrame?
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Remember how we access dictionary keys.
3Question 3.
What is the main purpose of the Pandas library?
- Machine Learning
- Data Manipulation
- Web Development
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Think about what tasks Pandas supports.
4Question 4.
The function pd.read_csv() is used to:
- True
- False
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Remember what we do with CSV files.
Question 5.
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.
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Use filtering and then the mean function!
Question 6.
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.
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Start with grouping and then apply summation!

7 more questions in this section. Enroll free to practise them all.