These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...

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 ...

Python is a powerful tool for data analysis, and linear regression is one of the simplest yet most powerful predictive modeling techniques. If you're delving into data science, understanding how ...

8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...

At one end of the spectrum, if you are new to linear algebra or python or both, I believe that you will find this post helpful among, I hope, a good group of saved links. At the other end of the ...

Linear classifiers are amongst the most practical and widely used machine learning models. Learn about the most effective machine learning techniques, and gain practice implementing them in Python.

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 ...