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The purpose of this project is not just achieving high accuracy, but clearly **demonstrating the machine learning workflow**—from exploration and preprocessing to modeling and evaluation.
This notebook investigates **multiple linear regression** and **polynomial regression** techniques for modeling and predicting relationships between variables in a dataset. The goal is to understand, apply, and compare these regression approaches in practice, analyze results, and reflect on common issues and learning points.
(Coursera/Course4/Week1/Project2) -- SE Fundamentals with Duke University / Principles of Software Design / Earthquakes: Programming and Interfaces / Filtering Data