Cross Validation, Hypothesis Testing and K-nearest Neighbors

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. Inferential Statistics: A branch of statistics that makes inferences about a population based on a sample, allowing for hypothesis testing and confidence intervals.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

[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 the p-value and what does it indicate in the Null Hypothesis?

Data Science

Data Science Decision Trees Machine Learning Machine Learning

Data Science Current

Basic Data Science Terms Every Data Analyst Should Know

[Updated] 100+ Top Data Science Interview Questions

Webinars

Stay Connected