Remove Hypothesis Testing Remove K-nearest Neighbors Remove Support Vector Machines
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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Inferential Statistics: A branch of statistics that makes inferences about a population based on a sample, allowing for hypothesis testing and confidence intervals. K K-Means Clustering: An unsupervised learning algorithm that partitions data into K distinct clusters based on feature similarity.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Trade-off Of Bias And Variance: So, as we know that bias and variance, both are errors in machine learning models, it is very essential that any machine learning model has low variance as well as a low bias so that it can achieve good performance. Another example can be the algorithm of a support vector machine.