18.3.3 - Step 3: Data Preprocessing
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Practice Questions
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What is data cleaning?
💡 Hint: Think about what happens when data is inaccurate.
What is feature engineering?
💡 Hint: Consider how we improve data for models.
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Interactive Quizzes
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What is the primary goal of data preprocessing?
💡 Hint: Remember, it's about ensuring the data is usable.
True or False: Outlier treatment has no impact on the quality of data analysis.
💡 Hint: How does ignoring outliers affect results?
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Challenge Problems
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You are given a dataset with many missing values and some extreme outliers. Outline your approach to clean and prepare the data for analysis.
💡 Hint: Consider both statistical techniques and business context when dealing with anomalies.
Describe a scenario where feature engineering significantly improved a model's performance. What features would you create and why?
💡 Hint: Think about relationships between existing variables.
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