Practice Lab Objectives (1.3.1) - ML Fundamentals & Data Preparation - Machine Learning
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Lab Objectives

Practice - Lab Objectives - 1.3.1

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary function to load a CSV file into Pandas?

💡 Hint: Think about how we import data.

Question 2 Easy

True or False: A DataFrame is a one-dimensional structure.

💡 Hint: Consider the shape of a DataFrame.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which of the following is a method to load data into a Pandas DataFrame?

pd.read_data()
pd.read_csv()
pd.load_data()

💡 Hint: This method is essential for reading data files.

Question 2

True or False: Exploratory Data Analysis (EDA) is only about visualization.

True
False

💡 Hint: Remember, EDA encompasses both analysis and visualization.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a Jupyter Notebook that loads the Iris dataset, performs basic EDA, and visualizes the results using histograms and scatter plots. Describe your findings.

💡 Hint: Document each method used for EDA and the resulting insights you draw from the visualizations.

Challenge 2 Hard

Identify and explain the steps needed to handle missing data in the Titanic dataset, including decisions about deletion and imputation.

💡 Hint: Consider what impact each decision might have on your dataset's integrity.

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Reference links

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