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 ...

Artificial neural network (ANN) works as a very effective tool in both classification and regression problem. The main advantage lies in the fact that it can draw fine distinctions, patterns, or ...

This project implements basic linear regression from scratch using Python, providing a clear explanation of the underlying theory and mathematical concepts. It offers a practical demonstration of how ...

Import essential libraries like pandas, numpy, sklearn, matplotlib, and seaborn. Load the dataset using pandas.read_csv(). Data Preprocessing: Address any missing values in the dataset. Select key ...

The scikit-learn library (also called scikit or sklearn) is based on the Python language and is one of the most popular. A good way to see where this article is headed is to take a look at the ...

This work describes the implementation of hardware architecture based on ANN and its hardware realization using hardware description language (Verilog) on FPGA. The objective of this project is “FPGA ...