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OverviewMaster the complete data science workflow with Python-no guesswork, no confusion, just clear, practical results. Python has become the backbone of modern data science, powering everything from predictive analytics to machine learning systems used across industries. Python Data Science Mastery gives you the knowledge, confidence, and hands-on skills to work like a real data scientist-using Python's most powerful libraries to clean data, uncover insights, build accurate models, and avoid common pitfalls like overfitting. Whether you're just starting your data science journey or looking to strengthen your professional skill set, this book delivers a step-by-step roadmap for mastering the essentials and applying them to real-world problems. What You'll Learn✓ Clean and prepare messy real-world datasets using Pandas and NumPy ✓ Explore data in depth with visualizations that reveal patterns, trends, and correlations ✓ Build and evaluate machine learning models using Scikit-learn ✓ Understand and prevent overfitting to ensure your models generalize reliably ✓ Apply best practices used by professional data scientists in production environments ✓ Deploy simple predictive models using modern Python tools Each chapter includes practical exercises, examples, and clear explanations that help you build intuition-not just memorize code. By the end, you'll be able to confidently move from raw data to actionable insights and deployable models. Who This Book Is ForThis book is perfect for: Aspiring and practicing data scientists, analysts, AI enthusiasts, and engineers Students preparing for data science careers Professionals who want to add Python-based analytics to their skillset Anyone who wants to understand how real machine learning models are built and optimized No advanced math or prior experience is required just curiosity and a willingness to learn. Why This Book Stands OutUnlike many theory-heavy resources, Python Data Science Mastery focuses on practical application, giving you the tools and mindset needed to solve real problems. You'll learn the same workflow used in industry from data preprocessing and exploratory analysis to model evaluation, optimization, and deployment. This is the guide you wish you had when you started learning data science: clear, concise, and packed with hands-on value. Full Product DetailsAuthor: Ethan ColePublisher: Independently Published Imprint: Independently Published Dimensions: Width: 17.80cm , Height: 0.70cm , Length: 25.40cm Weight: 0.240kg ISBN: 9798275606256Pages: 132 Publication Date: 22 November 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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