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What Is Machine Learning?

What Is Kernel SVM?

What Is Deep Learning?

How Do Deductive and Inductive Machine Learning Differ?

How Do You Choose an Algorithm for a Classification Problem?

How Do Bias and Variance Playout in Machine Learning?

What Are Some Methods of Reducing Dimensionality?

How Do Classification and Regression Differ?

What Is Supervised Versus Unsupervised Learning?

What Is Decision Tree Classification?

What do you understand by selection bias?

Explain false negative, false positive, true negative and true positive with a simple example.

What is the difference between Gini Impurity and Entropy in a Decision Tree?

What is the difference between Entropy and Information Gain?

What are collinearity and multicollinearity?

What is Cluster Sampling?

How is kNN different from kmeans clustering?

While working on a data set, how do you select important variables? Explain your methods.

What is the difference between covariance and correlation?

Is it possible capture the correlation between continuous and categorical variable? If yes, how?