Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

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Practical Linear Regression: A Step-by-Step Guide

Introduction to Linear Regression Linear regression stands as a foundational pillar in statistical modeling and machine learning, providing a powerful yet interpretable method for unraveling relationships between variables. Its widespread use across data science, from predictive analytics to causal inference, stems from its ability to model linear dependencies between a dependent variable and one or