Practice Lab Objectives (1.5.1) - ML Fundamentals & Data Preparation - Machine Learning
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Lab Objectives

Practice - Lab Objectives - 1.5.1

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of using Jupyter Notebook in machine learning?

💡 Hint: Think about its interactivity and ease of code execution.

Question 2 Easy

How do you load a dataset into a Pandas DataFrame?

💡 Hint: Recall the function specifically designed for importing CSV files.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What library is primarily used to create DataFrames in Python?

NumPy
Pandas
Matplotlib

💡 Hint: Think about the library primarily associated with data manipulation.

Question 2

True or False: Visualizations in EDA are only relevant for categorical data.

True
False

💡 Hint: Consider the types of data you would visualize.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a dataset that contains information about students’ exam results with several missing values. Describe how you would handle the loading, inspecting, and visualizing of this dataset.

💡 Hint: Think about the steps logically: loading, identifying issues, and exploring.

Challenge 2 Hard

Imagine you have visualized a dataset and found an outlier in exam scores. Describe how you would want to analyze this outlier further.

💡 Hint: Consider not only the data itself but also what surrounding factors might clarify the outlier.

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