{"product_id":"data-science-from-scratch-to-production-a-complete-guide-to-python-machine-learning-deep-learning-deployment-mlops-9798254141723","title":"Data Science from Scratch to Production: A Complete Guide to Python, Machine Learning, Deep Learning, Deployment \u0026 MLOps","description":"\u003cp\u003e • Author(s): Abhishek Kumar\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003eBecome a Job-Ready Data Scientist with Real-World, Production-Level Skills\u003c\/p\u003e\u003cp\u003eMost data science books focus on theory. They explain algorithms, define concepts, and stop before showing how real systems are built and deployed.\u003c\/p\u003e\u003cp\u003eThis book takes a different approach.\u003c\/p\u003e\u003cp\u003eIt is designed to guide you step by step from the fundamentals of data science to building and deploying production-ready machine learning systems used in real-world applications.\u003c\/p\u003e\u003cbr\u003eWhat You Will Learn\u003cp\u003eThis book provides a complete roadmap covering every stage of the data science lifecycle: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePython programming for data science\u003c\/li\u003e\n\u003cli\u003eData analysis using NumPy and Pandas\u003c\/li\u003e\n\u003cli\u003eData cleaning and preprocessing techniques\u003c\/li\u003e\n\u003cli\u003eExploratory Data Analysis and visualization\u003c\/li\u003e\n\u003cli\u003eMachine learning fundamentals and algorithms\u003c\/li\u003e\n\u003cli\u003eRegression and classification models\u003c\/li\u003e\n\u003cli\u003eDecision trees, random forest, and clustering\u003c\/li\u003e\n\u003cli\u003eModel evaluation and performance optimization\u003c\/li\u003e\n\u003cli\u003eFeature engineering and data transformation\u003c\/li\u003e\n\u003cli\u003eDeep learning and neural networks\u003c\/li\u003e\n\u003cli\u003eEnd-to-end machine learning project implementation\u003c\/li\u003e\n\u003cli\u003eModel deployment using APIs and Docker\u003c\/li\u003e\n\u003cli\u003eMLOps concepts, pipelines, monitoring, and retraining\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003ePractical, Real-World Approach\u003cp\u003eThis is not just a theoretical guide. You will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWork with real datasets\u003c\/li\u003e\n\u003cli\u003eBuild complete machine learning pipelines\u003c\/li\u003e\n\u003cli\u003eEvaluate and improve model performance\u003c\/li\u003e\n\u003cli\u003eDeploy models into production environments\u003c\/li\u003e\n\u003cli\u003eUnderstand how scalable AI systems are designed\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEvery section is structured to help you move from understanding concepts to applying them in real scenarios.\u003c\/p\u003e\u003cbr\u003eWho This Book Is For\u003cul\u003e\n\u003cli\u003eBeginners starting their data science journey\u003c\/li\u003e\n\u003cli\u003eSoftware developers transitioning into machine learning and AI\u003c\/li\u003e\n\u003cli\u003eProfessionals looking to build production-level skills\u003c\/li\u003e\n\u003cli\u003eAnyone who wants to understand how real-world data science systems work\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eNo prior experience in machine learning is required. The book starts from the basics and gradually moves to advanced topics.\u003c\/p\u003e\u003cbr\u003eWhy This Book Is Different\u003cp\u003eUnlike most books that stop at model building, this guide covers the full lifecycle of data science: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFrom raw data to trained models\u003c\/li\u003e\n\u003cli\u003eFrom models to deployed APIs\u003c\/li\u003e\n\u003cli\u003eFrom deployment to monitoring and MLOps\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis makes it a complete and practical resource for modern data science and AI engineering.\u003c\/p\u003e\u003cbr\u003eWhat You Will Achieve\u003cp\u003eBy the end of this book, you will be able to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild machine learning models from scratch\u003c\/li\u003e\n\u003cli\u003eWork with real-world datasets and solve practical problems\u003c\/li\u003e\n\u003cli\u003eDeploy models using APIs and containerization tools\u003c\/li\u003e\n\u003cli\u003eUnderstand and implement production-level ML systems\u003c\/li\u003e\n\u003cli\u003eCreate projects that strengthen your portfolio and career opportunities\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003ePart of a Complete Learning Series\u003cp\u003eThis book is part of the \u003cb\u003eComplete Data Science and AI Engineering Series\u003c\/b\u003e, designed to take you from beginner to advanced levels through structured, practical learning.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47775377031319,"sku":"9798254141723","price":4206.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798254141723.webp?v=1777989978","url":"https:\/\/atlanticbooks.com\/products\/data-science-from-scratch-to-production-a-complete-guide-to-python-machine-learning-deep-learning-deployment-mlops-9798254141723","provider":"Atlantic Books","version":"1.0","type":"link"}