{"product_id":"data-science-with-jupyter-master-data-science-skills-with-easy-to-follow-python-examples-paperback","title":"Data Science with Jupyter: Master Data Science skills with easy-to-follow Python examples - 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\u003ePrateek Gupta\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStep-by-step guide to practising data science techniques with Jupyter notebooks\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003eDescription\u003c\/b\u003e\u003cbr\u003eModern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tool such as Jupyter Notebook in order to succeed in the role of a data scientist.\u003cbr\u003e\u003cbr\u003e The book starts with a brief introduction to the world of data science and the opportunities you may come across along with an overview of the key topics covered in the book. You will learn how to setup Anaconda installation which comes with Jupyter and preinstalled Python packages. Before diving in to several supervised, unsupervised and other machine learning techniques, you'll learn how to use basic data structures, functions, libraries and packages required to import, clean, visualize and process data. Several machine learning techniques such as regression, classification, clustering, time-series etc have been explained with the use of practical examples and by comparing the performance of various models.\u003cbr\u003e\u003cbr\u003e By the end of the book, you will come across few case studies to put your knowledge to practice and solve real-life business problems such as building a movie recommendation engine, classifying spam messages, predicting the ability of a borrower to repay loan on time and time series forecasting of housing prices. Remember to practice additional examples provided in the code bundle of the book to master these techniques.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAudience\u003c\/b\u003e\u003cbr\u003eThe book is intended for anyone looking for a career in data science, all aspiring data scientists who want to learn the most powerful programming language in Machine Learning or working professionals who want to switch their career in Data Science. While no prior knowledge of Data Science or related technologies is assumed, it will be helpful to have some programming experience.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eKey Features\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAcquire Python skills to do independent data science projects\u003c\/li\u003e\n\u003cli\u003eLearn the basics of linear algebra and statistical science in Python way\u003c\/li\u003e\n\u003cli\u003eUnderstand how and when they're used in data science\u003c\/li\u003e\n\u003cli\u003eBuild predictive models, tune their parameters and analyze performance in few steps\u003c\/li\u003e\n\u003cli\u003eCluster, transform, visualize, and extract insights from unlabelled datasets\u003c\/li\u003e\n\u003cli\u003eLearn how to use matplotlib and seaborn for data visualization\u003c\/li\u003e\n\u003cli\u003eImplement and save machine learning models for real-world business scenarios\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003col\u003e\n\u003cli\u003e Data Science Fundamentals\u003c\/li\u003e\n\u003cli\u003e Installing Software and Setting up\u003c\/li\u003e\n\u003cli\u003e Lists and Dictionaries\u003c\/li\u003e\n\u003cli\u003e Function and Packages\u003c\/li\u003e\n\u003cli\u003e NumPy Foundation\u003c\/li\u003e\n\u003cli\u003e Pandas and Dataframe\u003c\/li\u003e\n\u003cli\u003e Interacting with Databases\u003c\/li\u003e\n\u003cli\u003e Thinking Statistically in Data Science\u003c\/li\u003e\n\u003cli\u003e How to import data in Python?\u003c\/li\u003e\n\u003cli\u003e Cleaning of imported data\u003c\/li\u003e\n\u003cli\u003e Data Visualization\u003c\/li\u003e\n\u003cli\u003e Data Pre-processing\u003c\/li\u003e\n\u003cli\u003e Supervised Machine Learning\u003c\/li\u003e\n\u003cli\u003e Unsupervised Machine Learning\u003c\/li\u003e\n\u003cli\u003e Handling Time-Series Data\u003c\/li\u003e\n\u003cli\u003e Time-Series Methods\u003c\/li\u003e \u003cli\u003e Case Study - 1\u003c\/li\u003e\n\u003cli\u003e Case Study - 2\u003c\/li\u003e\n\u003cli\u003e Case Study - 3\u003c\/li\u003e\n\u003cli\u003e Case Study - 4\u003c\/li\u003e\n\u003c\/ol\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003ePrateek is a Data Enthusiast and loves the data driven technologies. Prateek has total 7 years of experience and currently he is working as a Data Scientist in an MNC. He has worked with finance and retail clients and has developed Machine Learning and Deep Learning solutions for their business. His keen area of interest is in natural language processing and in computer vision. In leisure he writes posts about Data Science with Python in his blog.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 324\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.68 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 26, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47214220804345,"sku":"9789388511377","price":40.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/87I9DvuDWG9789388511377.webp?v=1768112389","url":"https:\/\/bookscloud.io\/products\/data-science-with-jupyter-master-data-science-skills-with-easy-to-follow-python-examples-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}