Tag: Linear Regression

Heteroscedasticity
In this post, I want to talk about Heteroscedasticity. I can understand, some of you might have a hard time pronouncing it (atleast I did). Anyway, we are more interested in its meaning and it’s application rather than its pronunciation. So, Heteroscedasticity means the variability of a random disturbance is different across a vector. Now, […]

Linear Regression in Machine Learning (from Scratch !!)
Introduction In this post, I will talk about one of the most crucial techniques in Regression Analysis/Machine Learning, called Linear Regression. As per Wikipedia, Regression Analysis is defined as a set of statistical processes used to estimate the strength of the relationship between a dependent variable and an independent variable. The process which tries to […]