From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...

Introduction: This article highlights the applications of artificial intelligence in the flood dynamics analysis with its effects on the ecosystem with the help of mathematical modeling and ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Abstract: With the rapid development of technology, computer technology plays an increasingly vital role across various fields, including education. Python, a high-level programming language, has a ...

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 ...

ABSTRACT: This study investigates the impact of marketing mix elements—Product, Price, Promotion, and Place (4Ps)—on the revenue and profit of Nigerian Breweries Plc (NBL) from 2013 to 2022, using ...