How to decide one problem is a machine learning problem or not?
What is your favorite algorithm and also explain the algorithm in briefly in a minute?
What are the different categories you can categorize the sequence learning process?
What is the purpose of a classifier?
What is accuracy machine learning?
You are given a data set. The data set has missing values which spread along 1 standard deviation from the median. What percentage of data would remain unaffected? Why ?
Describe precision and recall?
How would you evaluate a logistic regression model?
What is the baseline for machine learning?
Tell us what's the f1 score? How would you use it?
Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?
Define A HashTable in Machine Learning?
Explain how is knn different from k-means clustering?
What is decision tree classification?
Explain me what cross-validation technique would you use on a time series dataset?