The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

In a move to make AI education more inclusive and interdisciplinary, SWAYAM, the Government of India’s free online education ...

The courses are aimed at equipping students, educators, and professionals with essential AI and data science skills across diverse fields such as sports, education, science, and finance.

Most linear algebra courses start by considering how to solve a system of linear equations. \[ \begin{align} a_{0,0}x_0 + a_{0,1}x_0 + \cdots a_{0,n-1}x_0 & = b_0 ...

In my last article, I looked at NumPY and some of its uses in numerical simulations. Although NumPY does provide some really robust building blocks, it is a bit lacking in more sophisticated tools.

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. This can be a ...