{"product_id":"mastering-scikit-learn-gilbert-gutizsrrez-9798309510177","title":"Mastering Scikit-Learn: Practical ML for Everyone","description":"\u003ci\u003e\u003cb\u003eAI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence - Book 5\u003c\/b\u003e\u003c\/i\u003e \u003cp\u003e\u003c\/p\u003eUnlock the power of machine learning with Scikit-Learn, Python's most popular ML library! Whether you're a beginner looking to understand the basics or a professional aiming to refine your skills, \u003cb\u003eMastering Scikit-Learn: Practical ML for Everyone\u003c\/b\u003e is your ultimate guide to building, optimizing, and deploying machine learning models effectively. \u003cp\u003e\u003c\/p\u003eThis book is the fifth installment in the \u003ci\u003eAI from Scratch\u003c\/i\u003e series, designed to provide a structured, hands-on approach to mastering artificial intelligence. With real-world case studies, step-by-step tutorials, and best practices, you'll gain the confidence to apply machine learning to real business and research problems. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003ePart 1: Getting Started with Scikit-Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eIntroduction to machine learning and the Scikit-Learn ecosystem\u003c\/li\u003e\n\u003cli\u003eSetting up your Python environment and loading datasets\u003c\/li\u003e\n\u003cli\u003eData preprocessing: handling missing values, feature scaling, and encoding categorical variables\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003ePart 2: Core Machine Learning Models\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eImplementing linear regression, logistic regression, and decision trees\u003c\/li\u003e\n\u003cli\u003eBuilding powerful ensemble models like Random Forest and Gradient Boosting\u003c\/li\u003e\n\u003cli\u003eUnderstanding Support Vector Machines (SVMs) and clustering techniques (K-Means, DBSCAN, PCA)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003ePart 3: Advanced Techniques \u0026amp; Optimization\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eFeature engineering and recursive feature elimination\u003c\/li\u003e\n\u003cli\u003eHyperparameter tuning with GridSearchCV and Bayesian optimization\u003c\/li\u003e\n\u003cli\u003eHandling imbalanced data, anomaly detection, and data augmentation\u003c\/li\u003e\n\u003cli\u003eAutomating ML workflows with Pipelines and AutoML\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003ePart 4: Real-World Applications \u0026amp; Deployment\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eEnd-to-end machine learning project case studies\u003c\/li\u003e\n\u003cli\u003eIntegrating Scikit-Learn with TensorFlow and PyTorch\u003c\/li\u003e\n\u003cli\u003eDeploying ML models using Flask, FastAPI, and cloud platforms\u003c\/li\u003e\n\u003cli\u003eAvoiding common pitfalls and optimizing model performance\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho Should Read This Book?\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eBeginners \u0026amp; Students\u003c\/b\u003e - Learn machine learning from the ground up with hands-on coding examples.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Scientists \u0026amp; ML Engineers\u003c\/b\u003e - Deepen your understanding of model tuning and feature engineering.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware Developers\u003c\/b\u003e - Implement Scikit-Learn models into real-world applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBusiness Analysts \u0026amp; AI Enthusiasts\u003c\/b\u003e - Discover how ML models can drive data-driven decisions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWhy Choose This Book?\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eStep-by-Step Learning\u003c\/b\u003e - Practical examples and code snippets guide you through each concept.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World Case Studies\u003c\/b\u003e - Apply machine learning to real datasets and projects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on Approach\u003c\/b\u003e - Learn by doing with interactive exercises and Python implementations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIndustry Best Practices\u003c\/b\u003e - Avoid common pitfalls and optimize your ML models for accuracy and efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePart of the AI from Scratch Series\u003c\/b\u003e - A structured learning path from beginner to AI mastery.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ci\u003eStart Your Machine Learning Journey Today!\u003c\/i\u003e \u003cp\u003e\u003c\/p\u003eWhether you're exploring machine learning for the first time or looking to enhance your skills, Mastering Scikit-Learn provides the tools, techniques, and knowledge you need to succeed. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eTake the next step in your AI journey-Master Scikit-Learn and build powerful machine learning models today!\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Gilbert Gutiérrez\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798309510177\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 02\/05\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 324\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.66lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.68d\u003c\/i\u003e","brand":"Gilbert Gutiérrez","offers":[{"title":"Paperback","offer_id":47425495236863,"sku":"9798309510177","price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_759f66a8-606a-4c8e-9226-2c56deb5a42e.jpg?v=1761539620","url":"https:\/\/www.whiterainbookhouse.com\/products\/mastering-scikit-learn-gilbert-gutizsrrez-9798309510177","provider":"WR Book House","version":"1.0","type":"link"}