quanhoangngoc/linear_regression_ne_sgd_gd_r2.tkhmt

🌌 📚 This project embarks on an exploration in the Mathematical Foundations of Computer Science, heralding the inaugural semester of 2023 with a profound dive into the realm of Linear Regression.

🌌 Majestic Overture to Profound Knowledge

📚 About This Project

Welcome to an odyssey of mathematical elegance and computational artistry, led by Quan Hoang Ngoc. This project embarks on an exploration in the Mathematical Foundations of Computer Science, heralding the inaugural semester of 2023 with a profound dive into the realm of Linear Regression.

🚀 Project Highlights

• Mastery of Linear Regression: Delve deeply into the foundational principles of Linear Regression, meticulously crafted from the ground up.
• Exploration of Algorithms: Traverse the intricate landscapes of Normal Equation (NE), Stochastic Gradient Descent (SGD), and Gradient Descent (GD).
• Dynamic Learning Experience: Witness the transformative interplay of the 'alpha learning rate' and the resonant metrics of R2, illuminating our predictive models with precision.

🎯 Vision and Goal

This project epitomizes the harmonious fusion of art and science, pushing the boundaries of traditional knowledge and celebrating the intricate beauty of algorithmic craftsmanship. Join us on this profound expedition into the domain of predictive modeling, where every line of code represents a stroke of brilliance and each model stands as a testament to mastery.

Embrace the elegance of mathematics and the innovation of computer science in this transcendent tribute to technological marvels. 🌟📊💡