Decision Trees, Hypothesis Testing and K-nearest Neighbors

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. 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

MAY 23, 2023

Decision trees are more prone to overfitting. Underfitting: Here, the model is so simple that it is not able to identify the correct relationship in the data, and hence it does not perform well even on the test data. Some algorithms that have low bias are Decision Trees, SVM, etc. Let us see some examples.

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Basic Data Science Terms Every Data Analyst Should Know

[Updated] 100+ Top Data Science Interview Questions

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