Clustering, Hypothesis Testing, K-nearest Neighbors and Support Vector Machines

[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

MAY 23, 2023

There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance.

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[Updated] 100+ Top Data Science Interview Questions

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