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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is predictive modelling?
💡 Hint: Think about how predictions are made.
Question 2
Easy
Name an algorithm used in predictive modelling.
💡 Hint: Remember, algorithms process data!
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of predictive modelling?
💡 Hint: Focus on the word 'predictive'.
Question 2
True or False: Algorithms are not important in predictive modelling.
💡 Hint: Remember the relationship between algorithms and models.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a simple predictive modelling framework for predicting sales figures in a retail store. Identify the data, algorithm, and how you would train and test your model.
💡 Hint: Consider what kinds of data you would need for an accurate prediction.
Question 2
Discuss the limitations of predictive modelling and how they can affect outcomes. Provide examples from your understanding.
💡 Hint: Think about what happens when data is flawed or the wrong algorithm is used.
Challenge and get performance evaluation