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.

Linear regression analysis is important in many fields. In the analysis of simulation results, a regression (meta) model can be applied, even when common pseudorandom numbers are used. To test the ...

Jean-Pierre Florens, Joël L. Horowitz, Ingrid Van Keilegom, Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems, Annals of Economics and Statistics, No. 128 (December 2017), pp.

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.