🌟 Introduction

• Quan Hoang Ngoc
• Mathematics for Computer Science
• Semester 1, 2023

📚 About

Embark on a journey exploring the nuanced concepts of predictive modeling:

• Bias-Variance Tradeoff: Delve into the intricate balance between bias and variance in hypothesis fitting.
• Conceptual Mastery: Gain profound insights into the [Bias-Variance Concept] and its implications in predictive modeling.
• Experimental Exploration: Conduct hands-on experiments to analyze the impact of 'sample size' and 'hypothesis degree' variations on bias and variance, uncovering their profound interrelationships.