Machine Learning

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.

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.