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 behind the linear regression in python.

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Interpret the regression results just like any other multiple linear regression output. Metrics such as the F-statistic and Adjusted R-squared represent the overall strength of fit of the model.

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

Fang Yao, Hans-Georg Müller, Jane-Ling Wang, Functional Linear Regression Analysis for Longitudinal Data, The Annals of Statistics, Vol. 33, No. 6 (Dec., 2005), pp ...

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...