In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

New nonparametric regression procedures called BSML (Basis Selection from Multiple Libraries) are proposed in this article for estimating a complex function by a linear combination of basis functions ...

This paper provides an alternative approach to penalized regression for model selection in the context of high-dimensional linear regressions where the number of covariates is large, often much larger ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...