Data Prediction and Regression

• analysis is a statistical method to model the relationship between dependent(target) and independent (predictor) variables with one or more independent variables.

• Regression models are a supervised ML technique and are used to predict continuous values

• An example of regression is to predict the price of a house given some of its features like area, age, number of floors, etc.

• We have a solution that uses many regression techniques to provide you with the estimated value of given input according to your business