{"product_id":"data-science-live-book-an-intuitive-and-practical-approach-to-data-analysis-data-preparation-and-machine-learning-suitable-for-all-ages-b-paperback","title":"Data Science Live Book: An Intuitive and Practical Approach to Data Analysis, Data Preparation and Machine Learning, Suitable for All Ages! (B - 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\u003ePablo Casas\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eWelcome!It's a book to learn data science, machine learning and data analysis with tons of examples and explanations around several topics like: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eExploratory data analysis\u003c\/li\u003e \u003cli\u003eData preparation\u003c\/li\u003e\n\u003cli\u003eSelecting best variables\u003c\/li\u003e\n\u003cli\u003eModel performance\u003c\/li\u003e\n\u003c\/ul\u003e\u003ci\u003eNote: This is the Black \u0026amp; White version. Link to the color one (higher price): https: \/\/www.amazon.com\/dp\/9874273666\u003c\/i\u003e.Everything is related to everythingThe book's premise is \u003ci\u003e\"everything is related to everything\"\u003c\/i\u003e. It is noticed in the relationship across different sections, for example choosing the right data type for any variable could be related to dealing with missing values, and vice-versa.In addition, some technical examples are related to \u003ci\u003e\"real-life\"\u003c\/i\u003e situations as well as philosophical concepts. The ultimate goal is to simplify the learning journey. How is it organized?It's a playbook with full of data preparation receipts, using the open source R language. There are two types of examples, some are oriented to teach general concepts around data analysis (like the information theory concept), while others are intended to show how to transform missing values, choosing the correct data type, and the implications in any case; among others, using easy copy-paste pieces of code.\u003ci\u003ePlease note that this is not a book to learn how to program R from scratch, nor how algorithms are implemented (math and stats area).\u003c\/i\u003eWho is the target audience?It's aimed to people who are Programmers and data scientists who work -or want to- in machine learning projects. However, the ones who don't want -or don't know- how to code, can get some useful insights which can add value as data project analysts.All the R examples are well explained in code comments.No math or statistical background to understand it.The book tries to be as tool-independent as possible. For example, the decision of what to do to deal with missing or extreme values is the whether we choose R, Python, Julia. What it changes is the how.Last wordsTo develop a critical thinking, without taking any statement as the \u003ci\u003e\"true truth\"\u003c\/i\u003e, it's essential in this sea of books, courses, videos and any technical material to learn. This book is just another view in the data science perspective. Hope you like it: )\u003cbr\u003e\u003cstrong\u003e\u003ci\u003eIndex\u003c\/i\u003e\u003c\/strong\u003e \u003cp\u003e\u003c\/p\u003eExploratory data analysis \u003cul\u003e \u003cli\u003eProfiling, The voice of the numbers\u003c\/li\u003e \u003cli\u003eCorrelation and Relationship\u003c\/li\u003e \u003c\/ul\u003e Data preparation\u003cul\u003e\n\u003cli\u003eHandling Data Types\u003c\/li\u003e\n\u003cli\u003eHigh Cardinality Variable in Descriptive Stats\u003c\/li\u003e\n\u003cli\u003eHigh Cardinality Variable in Predictive Modeling\u003c\/li\u003e\n\u003cli\u003eTreatment of outliers\u003c\/li\u003e\n\u003cli\u003eMissing Data: Analysis, Handling, and Imputation of\u003c\/li\u003e\n\u003cli\u003eConsiderations involving time\u003c\/li\u003e\n\u003c\/ul\u003eSelecting best variables\u003cul\u003e\n\u003cli\u003eGeneral Aspects in Selecting Best Variables\u003c\/li\u003e\n\u003cli\u003eIntuition\u003c\/li\u003e\n\u003cli\u003eThe \"best\" selection?\u003c\/li\u003e\n\u003cli\u003eThe nature of the selection\u003c\/li\u003e\n\u003cli\u003eImproving variables\u003c\/li\u003e\n\u003cli\u003eCleaning by domain knowledge\u003c\/li\u003e\n\u003cli\u003eVariables work in groups\u003c\/li\u003e\n\u003cli\u003eCorrelation between input variables\u003c\/li\u003e\n\u003cli\u003eKeep it simple\u003c\/li\u003e\n\u003cli\u003eVariable selection in Clustering?\u003c\/li\u003e\n\u003cli\u003eSelecting the best variables in practice\u003c\/li\u003e\n\u003cli\u003eTarget profiling\u003c\/li\u003e\n\u003c\/ul\u003eAssesing Model performance\u003cul\u003e\n\u003cli\u003eKnowing the Error\u003c\/li\u003e\n\u003cli\u003eOut-of-Time Validation\u003c\/li\u003e\n\u003cli\u003eGain and Lift Analysis\u003c\/li\u003e\n\u003cli\u003eScoring Data\u003c\/li\u003e\n\u003c\/ul\u003eAppendix\u003cul\u003e\n\u003cli\u003eThe magic of percentiles\u003c\/li\u003e\n\u003cli\u003efunModeling quick-start\u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 306\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.02 x 5.98 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 27, 2018\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43153731911743,"sku":"9789874269041","price":24.3,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/jr07v55ixe9789874269041.webp?v=1776950276","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/data-science-live-book-an-intuitive-and-practical-approach-to-data-analysis-data-preparation-and-machine-learning-suitable-for-all-ages-b-paperback","provider":"BBB","version":"1.0","type":"link"}