Question 4 - Theory (15 marks) (a) What is overfitting in Machine learning? Describe any TWO methods to avoid overfitting. (4 marks) (b) Describe any
Question 4 - Theory (15 marks) (a) What is overfitting in Machine learning? Describe any TWO methods to avoid overfitting. (4 marks) (b) Describe any FIVE applications of Supervised Machine Learning. (5 marks) (c) Consider receiving a collection of employer data with missing values that are distributed along 1 standard deviation from the median. How much of this data would be not affected? Why? (3 marks) (d) What is Pandas series and a DataFrame in Python? Differentiate between them with an example
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