{"product_id":"9781789612240","title":"Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python","description":"\u003cp\u003e\u003cb\u003eLearn advanced techniques to improve the performance and quality of your predictive models\u003c\/b\u003e\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eUse ensemble methods to improve the performance of predictive analytics models\u003c\/li\u003e\n\u003cli\u003eImplement feature selection, dimensionality reduction, and cross-validation techniques\u003c\/li\u003e\n\u003cli\u003eDevelop neural network models and master the basics of deep learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003cp\u003ePython is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.\u003c\/p\u003e\u003cp\u003eThis book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As you make your way through the book,  you will cover the nitty-gritty of predictive analytics and explore its features and characteristics. You will also be introduced to artificial neural networks and TensorFlow, and how it is used to create neural networks. In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis.\u003c\/p\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eUse ensemble algorithms to obtain accurate predictions\u003c\/li\u003e\n\u003cli\u003eApply dimensionality reduction techniques to combine features and build better models\u003c\/li\u003e\n\u003cli\u003eChoose the optimal hyperparameters using cross-validation\u003c\/li\u003e\n\u003cli\u003eImplement different techniques to solve current challenges in the predictive analytics domain\u003c\/li\u003e\n\u003cli\u003eUnderstand various elements of deep neural network (DNN) models\u003c\/li\u003e\n\u003cli\u003eImplement neural networks to solve both classification and regression problems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eMastering Predictive Analytics with scikit-learn and TensorFlow is for data analysts, software engineers, and machine learning developers who are interested in implementing advanced predictive analytics using Python. Business intelligence experts will also find this book indispensable as it will teach them how to progress from basic predictive models to building advanced models and producing more accurate predictions. Prior knowledge of Python and familiarity with predictive analytics concepts are assumed.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46465572765937,"sku":"9781789612240","price":26.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781789612240_p0.jpg?v=1771136945","url":"https:\/\/shop.barnesandnoble.com\/products\/9781789612240","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}