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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A Comprehensive Guide to Implementing and Optimizing Gradient Boosting Machines (GBM)

Unlocking the Power of Gradient Boosting Machines: A Comprehensive Guide In the ever-evolving landscape of predictive modeling, Gradient Boosting Machines (GBM) stand as a formidable force. These algorithms, renowned for their accuracy and versatility, have become indispensable tools for data scientists and machine learning engineers alike. From predicting customer churn with 90%+ accuracy to forecasting