Introduction to Machine Learning with Python
A Guide for Data Scientists
Andreas C. Müller|Sarah Guido
The book provides a comprehensive overview of machine learning fundamentals, focusing on practical applications using the Python programming language and its popular libraries such as scikit-learn. It covers essential algorithms, techniques for data preprocessing, model evaluation, and tuning, along with guidance on how to apply these methods to real-world data science problems.
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