Published in Analytics Vidhya·Sep 12, 2021F-statistic: Understanding model significance using pythonIn 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. …Statistics6 min readStatistics6 min read
Published in Geek Culture·Jun 10, 2021Akaike Information Criterion: Model SelectionAkaike 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…Statistics6 min readStatistics6 min read
Jun 7, 2021Covariance 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. …Statistics4 min readStatistics4 min read
