/Car-Price-Prediction-using-Linear-and-Lasso-Regression

Built a car price prediction from Kaggle dataset solution using Linear Regression and also Lasso Regression

Primary LanguageJupyter Notebook

Car-Price-Prediction-using-Linear-and-Lasso-Regression

Built a car price prediction from Kaggle dataset solution using Linear Regression

Dataset Source : https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho/code

Regression Methods Used:

About Lasso Regression:

Lasso regression is a type of linear regression that uses contraction. Shrinkage shrinks the data value to a center point, such as the mean. The Lasso method promotes a simple and sparse model (that is, a model with few parameters).

About Linear regression:

Linear regression attempts to model the relationship between two variables by fitting linear equations to the observed data. the linear regression line has an equation of the form Y = a + bX. Where X is the explanatory variable and Y is the dependent variable.