Machine Learning

Linear Regression

Source https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/ It is used to estimate real values (cost of houses, number of calls, total sales etc.) based on continuous variable(s). Here, we establish relationship between independent and dependent variables by fitting a best line. This best fit line is known as regression line and represented by a linear equation $$Y= a *X + b$$ The best way to understand linear regression is to relive this experience of childhood.
Machine Learning Overview

Machine Learning Overview

Broadly, there are three types of Machine Learning Algorithms.. 1. Supervised Learning How it works: This algorithm consist of a target or outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function that map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data.