Practice Activities (1.3.2) - ML Fundamentals & Data Preparation - Machine Learning
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Activities

Practice - Activities - 1.3.2

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What function do you use to load a CSV file into a Pandas DataFrame?

💡 Hint: Think about the operations we perform to import data.

Question 2 Easy

How do you display the first five rows of a DataFrame?

💡 Hint: This method helps you preview your data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which function is used to read a CSV file into a DataFrame?

read.csv()
read_csv()
pd.read()
load_csv()

💡 Hint: Remember the specific syntax for reading files in Pandas.

Question 2

True or False: Scatter plots can be used to visualize relationships between two variables.

True
False

💡 Hint: Think about what scatter plots represent.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a dataset with numerical and categorical features. Describe how you would approach exploratory data analysis before building a machine learning model.

💡 Hint: Think about the processes we discussed leading to building a model.

Challenge 2 Hard

Create a detailed plan for setting up a Python environment, including the steps for data loading and the functions needed for initial inspection.

💡 Hint: Compiling a checklist can help structure your approach.

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