Regression - agastya2002/IECSE-ML-Winter-2020 GitHub Wiki

Regression

In this week, you will be introduced to Linear Regression and Polynomial Regression that will be used to solve Regression problems.

Regression analysis is a form of predictive modelling technique which investigates the relationship between a dependent and independent variable.

Linear regression attempts to model the relationship between the independent variable and dependent variables by fitting a linear equation (= a straight line) to the observed data.

Polynomial regression attempts to model the relationship between the independent variable and dependent variables by fitting a polynomial to the observed data.

The theory on both of these Algorithms is given in this video by Andrew Ng.

Also, at the end, you will be required to implement Linear Regression from scratch. The following link will help you with that- https://medium.com/we-are-orb/multivariate-linear-regression-in-python-without-scikit-learn-7091b1d45905