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What is overfitting in machine learning

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Question- Theory

(a) What is overfitting in Machine learning? Describe any TWO methods to avoid overfitting.

(b) Describe any FIVE applications of Supervised Machine Learning.

(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?

(d) What is Pandas series and a DataFrame in Python? Differentiate between them with an example.

Reference no: EM133298364

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