Cost-Function-For-Linear-Regression This Python code integrates numpy and matplotlib to explore the concept of cost function in linear regression, specifically using an interactive visualization setup ...

This project demonstrates how to build a Multiple Linear Regression model in pure Python without using any ML libraries like scikit-learn. It includes: Complete implementation of linear regression ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Regularization is a technique that adds a penalty term to the cost function of a linear regression model, which reduces the magnitude of the coefficients and prevents them from becoming too large ...

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.