{"id":105058,"date":"2022-07-15T18:59:23","date_gmt":"2022-07-15T18:59:23","guid":{"rendered":"https:\/\/vfxcourseupload.com\/?p=105058"},"modified":"2022-07-15T18:59:23","modified_gmt":"2022-07-15T18:59:23","slug":"practical-data-science-with-python-learn-tools-and-techniques-from-hands-on-examples-to-extract-insights-from-data-premium","status":"publish","type":"post","link":"https:\/\/psd-ly.com\/practical-data-science-with-python-learn-tools-and-techniques-from-hands-on-examples-to-extract-insights-from-data-premium\/","title":{"rendered":"Practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data (Premium)"},"content":{"rendered":"

\"Practical<\/p>\n

practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data\u00a0 Free Download Latest . It is of\u00a0 practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data\u00a0free download.<\/p>\n

Practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data Overview<\/h2>\n

English | 2021 | ISBN: 9781801071970 | 922 pages | PDF,EPUP | 27.22 MB
\nLearn to effectively manage data and execute data science projects from start to finish using Python<\/p>\n

Key Features<\/h2>\n

Understand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modeling
\nBuild a strong data science foundation with the best data science tools available in Python
\nAdd value to yourself, your organization, and society by extracting actionable insights from raw data
\nBook Description
\nPractical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.
\nThe book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You’ll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion.
\nAs you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments.
\nBy the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source.
\nWhat you will learn
\nUse Python data science packages effectively
\nClean and prepare data for data science work, including feature engineering and feature selection
\nData modeling, including classic statistical models (such as t-tests), and essential machine learning algorithms, such as random forests and boosted models
\nEvaluate model performance
\nCompare and understand different machine learning methods
\nInteract with Excel spreadsheets through Python
\nCreate automated data science reports through Python
\nGet to grips with text analytics techniques
\nWho this book is for
\nThe book is intended for beginners, including students starting or about to start a data science, analytics, or related program (e.g. Bachelor’s, Master’s, bootcamp, online courses), recent college graduates who want to learn new skills to set them apart in the job market, professionals who want to learn hands-on data science techniques in Python, and those who want to shift their career to data science.
\nThe book requires basic familiarity with Python. A “getting started with Python” section has been included to get complete novices up to speed.<\/p>\n

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\n\"crack,
\n<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data\u00a0 Free Download Latest . It is of\u00a0 practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data\u00a0free download. Practical Data Science with Python Learn tools and…<\/p>\n","protected":false},"author":1,"featured_media":105066,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[37],"tags":[],"platform":[],"yoast_head":"\nPractical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data (Premium) - Psdly<\/title>\n<meta name=\"description\" content=\"practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data\u00a0 Free Download Latest\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/psd-ly.com\/practical-data-science-with-python-learn-tools-and-techniques-from-hands-on-examples-to-extract-insights-from-data-premium\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Practical Data Science with Python Learn tools and techniques from hands-on examples to extract insights from data (Premium) - 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