{"product_id":"python-data-science-essentials-second-edition-learn-the-fundamentals-of-data-science-with-python-paperback","title":"Python Data Science Essentials - Second Edition: Learn the fundamentals of Data Science with Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAlberto Boschetti\u003c\/b\u003e (Author), \u003cb\u003eLuca Massaron\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBecome an efficient data science practitioner by understanding Python's key concepts\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eQuickly get familiar with data science using Python 3.5\u003c\/li\u003e\n\u003cli\u003eSave time (and effort) with all the essential tools explained\u003c\/li\u003e\n\u003cli\u003eCreate effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eDive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSet up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux\u003c\/li\u003e\n\u003cli\u003eGet data ready for your data science project\u003c\/li\u003e\n\u003cli\u003eManipulate, fix, and explore data in order to solve data science problems\u003c\/li\u003e\n\u003cli\u003eSet up an experimental pipeline to test your data science hypotheses\u003c\/li\u003e\n\u003cli\u003eChoose the most effective and scalable learning algorithm for your data science tasks\u003c\/li\u003e\n\u003cli\u003eOptimize your machine learning models to get the best performance\u003c\/li\u003e\n\u003cli\u003eExplore and cluster graphs, taking advantage of interconnections and links in your data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 378\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.78 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 28, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212569624825,"sku":"9781786462138","price":73.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/NVJCK0tLOWVGNDRIWjZaWDc0bS82Zz09.webp?v=1768094503","url":"https:\/\/bookscloud.io\/products\/python-data-science-essentials-second-edition-learn-the-fundamentals-of-data-science-with-python-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}