TCS Data Scientist Interview Questions, Process, and Tips

Q1. What's the difference between k means and knn
Ans. 
K-means is a clustering algorithm while KNN is a classification algorithm.
• K-means is unsupervised learning, KNN is supervised learning

• K-means partitions data into K clusters based on distance, KNN classifies data points based on similarity to K neighbors

• K-means requires specifying the number of clusters (K), KNN requires specifying the number of neighbors (K)

• Example: K-means can be used to group customers based on purc...read more
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