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In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
424Post New Data Science Questions
Can you explain supervised learning?
Define the term deep learning?
Discuss normal distribution
Could you draw a comparison between overfitting and underfitting?
What is random forests and how is it different from decision trees?
Which language is best for text analytics? R or python?
What is back propagation?
How to determine the number of clusters in k-means clustering algorithm?
What is a document database?
Explain each data visualization in detail?
What is the roc curve?
What is an api?
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
what the aim of conducting a/b testing?
From a long sorted list and a short 4 element sorted list, which algorithm will you use to search the long sorted list for 4 elements.
