How do we know which machine learning algorithm is better for us to solve our problem?
What is the most frequent metric to assess model accuracy for classification problems?
What is supervised and unsupervised machine learning?
How is knn different from k-means?
What is pca in ml?
What is kernel SVM?
Differentiate supervised and unsupervised machine learning.
What is the “kernel trick” and how is it useful?
How will you know which machine learning algorithm to choose for your classification problem?
Tell me what is a recommendation system?
Explain the bias-variance tradeoff.
What is the Difference between Concept Learning and Classification Learning in Machine Learning?
What is Time Series Analysis/ Forecasting?
How to choose notable variables while working on a data set?
What is machine learning good for?