Quote

"Between stimulus and response there is a space. In that space is our power to choose our response.
In our response lies our growth and freedom"


“The only way to discover the limits of the possible is to go beyond them into the impossible.”


Saturday, 27 April 2019

Machine Learning 101: Linear Regression Simplified



One of the most essential  concepts to be clarified before embarking on the journey of machine learning is linear regression. It is a simple concept both mathematically and to visualize practically. However still when I came across below video I thought a 5th grade kid could also understand linear regression. :)
So here is the video:
Introduction to Linear Regression


Need to start with basic questions:
What is regression? 
Regression: Modelling target value using independent predictors. Helps in forecasting and finding out cause and effect relationship between variables. Regression techniques differ based on the types of relationship between dependent and independent variable and the number of independent variables.

Linear regression: The number of independent variables is one and there is a linear relationship between the independent(x) and dependent(y) variable.