scikit-learn Cookbook, 3E by John Sukup (.ePUB)+
File Size: 19.9 MB
scikit-learn Cookbook: Over 80 recipes for machine learning in Python with scikit-learn, 3rd Edition by John Sukup
Requirements: .ePUB, .PDF reader, 19.9 MB
Overview: Get hands-on with the most widely used Python library in machine learning with over 80 practical recipes that cover core as well as advanced functions. Trusted by data scientists, ML engineers, and software developers alike, scikit-learn offers a versatile, user-friendly framework for implementing a wide range of ML algorithms, enabling the efficient development and deployment of predictive models in real-world applications. This third edition of scikit-learn Cookbook will help you master ML with real-world examples and scikit-learn 1.5 features. By the end of this book, you’ll have gained the knowledge and skills needed to confidently build, evaluate, and deploy sophisticated ML models using scikit-learn, ready to tackle a wide range of data-driven challenges. This book is for data scientists as well as machine learning and software development professionals looking to deepen their understanding of advanced ML techniques. To get the most out of this book, you should have proficiency in Python programming and familiarity with commonly used ML libraries; e.g., pandas, NumPy, matplotlib, and sciPy. An understanding of basic ML concepts, such as linear regression, decision trees, and model evaluation metrics will be helpful. Familiarity with mathematical concepts such as linear algebra, calculus, and probability will also be invaluable.
Genre: Non-Fiction > Tech & Devices
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