{"product_id":"9781789955835","title":"Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning","description":"\u003cp\u003e\u003cb\u003eExplore the exciting world of machine learning with the fastest growing technology in the world\u003c\/b\u003e\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eUnderstand various machine learning concepts with real-world examples\u003c\/li\u003e\n\u003cli\u003eImplement a supervised machine learning pipeline from data ingestion to validation\u003c\/li\u003e\n\u003cli\u003eGain insights into how you can use machine learning in everyday life\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003eMachine learning—the ability of a machine to give right answers based on input data—has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic and commercial circles with in-line code running support.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWith the help of fun examples, you'll gain experience working on the Python machine learning toolkit—from performing basic data cleaning and processing to working with a range of regression and classification algorithms. Once you’ve grasped the basics, you'll learn how to build and train your own models using advanced techniques such as decision trees, ensemble modeling, validation, and error metrics. You'll also learn data visualization techniques using powerful Python libraries such as Matplotlib and Seaborn. \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThis book also covers ensemble modeling and random forest classifiers along with other methods for combining results from multiple models, and concludes by delving into cross-validation to test your algorithm and check how well the model works on unseen data.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eBy the end of this book, you'll be equipped to not only work with machine learning algorithms, but also be able to create some of your own!\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the concept of supervised learning and its applications\u003c\/li\u003e\n\u003cli\u003eImplement common supervised learning algorithms using machine learning Python libraries\u003c\/li\u003e\n\u003cli\u003eValidate models using the k-fold technique\u003c\/li\u003e\n\u003cli\u003eBuild your models with decision trees to get results effortlessly\u003c\/li\u003e\n\u003cli\u003eUse ensemble modeling techniques to improve the performance of your model\u003c\/li\u003e\n\u003cli\u003eApply a variety of metrics to compare machine learning models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eApplied Supervised Learning with Python is for you if you want to gain a solid understanding of machine learning using Python. It'll help if you to have some experience in any functional or object-oriented language and a basic understanding of Python libraries and expressions, such as arrays and dictionaries.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46525230842097,"sku":"9781789955835","price":30.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781789955835_p0.jpg?v=1765576818","url":"https:\/\/shop.barnesandnoble.com\/products\/9781789955835","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}