{"product_id":"9781787129566","title":"Learning Data Mining with Python - Second Edition","description":"\u003cp\u003e\u003cb\u003eHarness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models.\u003c\/b\u003e\u003c\/p\u003eAbout This Book\u003cul\u003e\n\u003cli\u003eUse a wide variety of Python libraries for practical data mining purposes.\u003c\/li\u003e\n\u003cli\u003eLearn how to find, manipulate, analyze, and visualize data using Python.\u003c\/li\u003e\n\u003cli\u003eStep-by-step instructions on data mining techniques with Python that have real-world applications.\u003c\/li\u003e\n\u003c\/ul\u003eWho This Book Is For\u003cp\u003eIf you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected.\u003c\/p\u003eWhat You Will Learn\u003cul\u003e\n\u003cli\u003eApply data mining concepts to real-world problems\u003c\/li\u003e\n\u003cli\u003ePredict the outcome of sports matches based on past results\u003c\/li\u003e\n\u003cli\u003eDetermine the author of a document based on their writing style\u003c\/li\u003e\n\u003cli\u003eUse APIs to download datasets from social media and other online services\u003c\/li\u003e\n\u003cli\u003eFind and extract good features from difficult datasets\u003c\/li\u003e\n\u003cli\u003eCreate models that solve real-world problems\u003c\/li\u003e\n\u003cli\u003eDesign and develop data mining applications using a variety of datasets\u003c\/li\u003e\n\u003cli\u003ePerform object detection in images using Deep Neural Networks\u003c\/li\u003e\n\u003cli\u003eFind meaningful insights from your data through intuitive visualizations\u003c\/li\u003e\n\u003cli\u003eCompute on big data, including real-time data from the internet\u003c\/li\u003e\n\u003c\/ul\u003eIn Detail\u003cp\u003eThis book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK.\u003c\/p\u003e\u003cp\u003eYou will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now.\u003c\/p\u003e\u003cp\u003eWith restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations.\u003c\/p\u003eStyle and approach\u003cp\u003eThis book will be your comprehensive guide to learning the various data mining techniques and implementing them in Python. A variety of real-world datasets is used to explain data mining techniques in a very crisp and easy to understand manner.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47136959201520,"sku":"9781787129566","price":35.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781787129566_p0.jpg?v=1763738949","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781787129566","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}