Logistic regression | Likelihood ratio test and AIC

The Poisson distribution vs the normal distribution

Logistic regression | Likelihood and deviance

Multinomial logistic regression | softmax regression | explained

Model selection with AIC and AICc

Quasi-Poisson and negative binomial regression models

MLE vs OLS | Maximum likelihood vs least squares in linear regression

ROC and AUC, Clearly Explained!

Hypothesis Testing EXPLAINED

PERMANOVA and permutation tests - explained

Logistic regression : the basics - simply explained

Linear Regression, Clearly Explained!!!

Linear Regression Using Least Squares Method - Line of Best Fit Equation

Poisson regression - How to calculate likelihood and deviance

Poisson regression - clearly explained

Logistic regression : how to use it as a classifier

Linear discriminant analysis (LDA) - simply explained

Mantel-Haenszel adjustment, testing for confounding and effect modification with R-studio.

Gradient Descent, Step-by-Step

p-values: What they are and how to interpret them

A Secret Weapon for Predicting Outcomes: The Binomial Distribution