Question: 1. Mention how one hot encoding helps to handle the categorical attributes in data. Why do we need to perform scaling of features in a

1. Mention how one hot encoding helps to handle the categorical attributes in data. Why do we need to perform scaling of features in a data set before applying machine learning methods? Explain with an example. 2. What do you mean by principal component? What is the difference between the first and the last principal component? Why KNN algorithms is said to work better on small data sets
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