In an era where data has become the new currency, understanding the principles and methodologies of statistical learning is crucial for professionals across various fields. This book, "Comprehensive Guide to Statistical Learning and Advanced Techniques," aims to provide a thorough exploration of both fundamental and advanced concepts in statistical learning, making it an essential resource for students, researchers, and practitioners alike. The journey begins with an introduction to statistical learning, setting the stage by defining what statistical learning is and how model accuracy is assessed. From there, we delve into linear regression, covering both simple and multiple linear regression techniques. These chapters lay the groundwork by explaining how to estimate coefficients and assess the accuracy of models, providing readers with a solid foundation in regression analysis.