Название: Python Programming: Machine Learning & Data Science, Scikit-learn, TensorFlow, PyTorch, XGBoost, StatsmodelsАвтор: e3
Издательство: Independently published
Год: 2025
Страниц: 1526
Язык: английский
Формат: epub (true)
Размер: 11.9 MB
Machine Learning is no longer a distant frontier reserved for data scientists and engineers in elite labs—it has become an essential toolkit for anyone seeking to derive insights from data, build predictive systems, or explore Artificial Intelligence. The landscape of machine learning is both vast and rapidly evolving, and understanding it requires more than just learning a few algorithms or copying code from tutorials. It requires a deep comprehension of core principles, preprocessing strategies, model building, evaluation techniques, and the ability to connect theoretical foundations with practical implementations. This book is designed to guide learners through the essential building blocks of Machine Learning, progressing from foundational preprocessing techniques to complex model evaluation and optimization strategies. Each section is crafted to demystify core concepts while grounding them in hands-on, real-world applications using Python libraries such as Scikit-learn.
