Practice - Lab Objectives - 1.5.1
Practice Questions
Test your understanding with targeted questions
What is the purpose of using Jupyter Notebook in machine learning?
💡 Hint: Think about its interactivity and ease of code execution.
How do you load a dataset into a Pandas DataFrame?
💡 Hint: Recall the function specifically designed for importing CSV files.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What library is primarily used to create DataFrames in Python?
💡 Hint: Think about the library primarily associated with data manipulation.
True or False: Visualizations in EDA are only relevant for categorical data.
💡 Hint: Consider the types of data you would visualize.
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Challenge Problems
Push your limits with advanced challenges
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.
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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Reference links
Supplementary resources to enhance your learning experience.