Practice Project Ideas (1.1) - Capstone Project & Career Path

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11 questions

Flashcard drill
5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define regression in the context of data science.
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Think about how we predict sales or prices.
Question 2.
What is the purpose of customer churn prediction?
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Think about customer retention.
3Question 3.
What is the main goal of predictive analytics?
- Understand past data
- Predict future outcomes
- Visualize data
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Think about why we analyze data!
4Question 4.
True or False: Regression can only predict categorical outcomes.
- True
- False
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Recall what types of variables regression works with.
Question 5.
Create a detailed project plan for building a movie recommendation system. Include the types of data needed, algorithms to employ, and how you would evaluate its effectiveness.
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Think about the components essential for recommendations and user feedback!
Question 6.
Identify potential pitfalls in forecasting with time-series data and how you might address them in your analysis.
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Consider various methods to enhance prediction reliability.

7 more questions in this section. Enroll free to practise them all.