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Aditya Manikantan
Aditya Manikantan

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Published in Analytics Vidhya

·Sep 12, 2021

F-statistic: Understanding model significance using python

In statistics, a test of significance is a method of reaching a conclusion to either reject or accept certain claims based on the data. In the case of regression analysis, it is used to determine whether an independent variable is significant in explaining the variance of the dependent variable. …

Statistics

6 min read

F-statistic: Understanding model significance using python
F-statistic: Understanding model significance using python
Statistics

6 min read


Published in Geek Culture

·Jun 10, 2021

Akaike Information Criterion: Model Selection

Akaike Information Criterion or AIC is a statistical method used for model selection. It helps you compare candidate models and select the best among them. Candidate models can be models each containing a different subset or combination of independent/predictor variables. AIC aims to select the model which best explains the…

Statistics

6 min read

Akaike Information Criterion: Model Selection
Akaike Information Criterion: Model Selection
Statistics

6 min read


Jun 7, 2021

Covariance vs Correlation: Which should you use?

Covariance and correlation, you have probably come across these terms in probability theory and statistics. They both are used to describe a very similar aspect i.e the type of linear relationship between some random variables/ features. …

Statistics

4 min read

Covariance vs Correlation: Which should you use?
Covariance vs Correlation: Which should you use?
Statistics

4 min read

Aditya Manikantan

Aditya Manikantan

39 Followers

Hey! I am interested in AI, Technology, Statistics, and how AI could impact well-being.

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