Cross Validation, K-nearest Neighbors and SQL

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset. 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

The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance. This trade-off can easily be reversed by increasing the k value which in turn results in increasing the number of neighbours. What is Cross-Validation? Perform cross-validation of the model.

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Basic Data Science Terms Every Data Analyst Should Know

[Updated] 100+ Top Data Science Interview Questions

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