Regression is one of popular task in machine learning that consists of mathematical methods that allow data scientists to predict a continuous outcome (y) based on the value of one or more predictor variables (x). This project discusses a traditional regression method called Lasso Regression algorithm, which is an advanced version of Linear Regression algorithm, from mathematical perspective.
Using Lasso Regression, I have tried to analyze and build model using Factors influencing Life Expectancy (WHO) dataset from Kaggle.