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Ordinary Least Squares
Posted inMachine Learning

Multicollinearity with Ordinary Least Squares(OLS)

Introduction Ordinary Least Squares  is a method which helps us estimate the unknown parameters in the Linear regression model. How does it estimate the parameters though? Well, it estimates the…
Posted by tkhan.kiit@gmail.com July 25, 2020
Multicollinearity using VIF
Posted inExploratory Data Analysis

Multicollinearity using VIF

Introduction Collinearity is a condition in the data where we have 2 features which are heavily correlated with each other. In such situations, we could check the Collinearity using a…
Posted by tkhan.kiit@gmail.com July 24, 2020
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