PuLP is a Python library that provides a high-level interface for creating and solving linear programming problems. PuLP allows you to define the variables, objective function, and constraints of ...

SciPy is a free and open-source Python library (built on top of Numpy) used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, ...

This repository contains a Jupyter Notebook that demonstrates the implementation of simple linear regression using Python. The notebook covers data loading, exploratory data analysis, visualization, ...

This set of practice exercises is designed to help you understand matrix multiplication and inverse matrices in linear algebra using Python. Before starting, make sure you have some basic knowledge of ...

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. Your Lane to ...