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Machine Learning
{"id":583109345324,"title":"Machine Learning with Python","handle":"machine-learning-with-python","description":"\u003cp\u003eAuthor: Abhishek Vijayvargia\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003ePrice: 297, ISBN: 9789386551931\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eISBN: 9789388511315, Pages: 267, \u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eEdition: 1st 2018 Paperback\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eTerritory: Worldwide \u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e*It includes the CD which has Machine Learning Algorithms of chapters in the Python notebook.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis book provides the concept of machine learning with mathematical explanation and programming examples. Every chapter starts with the fundamentals of the technique and working example on the real-world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages to the data.\u003c\/p\u003e\n\u003cp\u003eIn this book, we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is a free and open source. It contains very good support from the open community. It contains a lot of libraries, so you don’t need to code everything. Also, it is scalable for a large amount of data and suitable for big data technologies.\u003c\/p\u003e\n\u003cp\u003eThis book:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eCovers all major areas in Machine Learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTopics are discussed with graphical explanations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eComparison of different Machine Learning methods to solve any problem.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eMethods to handle real-world noisy data before applying any Machine Learning algorithm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003ePython code example for each concept discussed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eJupyter notebook scripts are provided with the dataset used to test and try the algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eContents\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eIntroduction to Machine Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUnderstanding Python \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eFeature Engineering \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eData Visualisation\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eBasic and Advanced Regression\u003cspan\u003e techniques\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eClassification \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUn Supervised Learning\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eText Analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eNeural Network and Deep Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eRecommendation System \u003cspan\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTime Series Analysis \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e","published_at":"2018-02-20T12:05:35+05:30","created_at":"2018-02-20T12:09:26+05:30","vendor":"Abhishek Vijayvargia","type":"Book","tags":["Machine Learning","Machine learning with Python","Python book"],"price":26800,"price_min":26800,"price_max":26800,"available":true,"price_varies":false,"compare_at_price":29700,"compare_at_price_min":29700,"compare_at_price_max":29700,"compare_at_price_varies":false,"variants":[{"id":7161876545580,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"5","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"Machine Learning with Python","public_title":null,"options":["Default Title"],"price":26800,"weight":0,"compare_at_price":29700,"inventory_quantity":128,"inventory_management":"shopify","inventory_policy":"deny","barcode":"9789386551931"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/Machine_Learning_with_Python_copy.jpg?v=1524485640"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/Machine_Learning_with_Python_copy.jpg?v=1524485640","options":["Title"],"content":"\u003cp\u003eAuthor: Abhishek Vijayvargia\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003ePrice: 297, ISBN: 9789386551931\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eISBN: 9789388511315, Pages: 267, \u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eEdition: 1st 2018 Paperback\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eTerritory: Worldwide \u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e*It includes the CD which has Machine Learning Algorithms of chapters in the Python notebook.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis book provides the concept of machine learning with mathematical explanation and programming examples. Every chapter starts with the fundamentals of the technique and working example on the real-world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages to the data.\u003c\/p\u003e\n\u003cp\u003eIn this book, we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is a free and open source. It contains very good support from the open community. It contains a lot of libraries, so you don’t need to code everything. Also, it is scalable for a large amount of data and suitable for big data technologies.\u003c\/p\u003e\n\u003cp\u003eThis book:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eCovers all major areas in Machine Learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTopics are discussed with graphical explanations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eComparison of different Machine Learning methods to solve any problem.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eMethods to handle real-world noisy data before applying any Machine Learning algorithm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003ePython code example for each concept discussed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eJupyter notebook scripts are provided with the dataset used to test and try the algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eContents\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eIntroduction to Machine Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUnderstanding Python \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eFeature Engineering \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eData Visualisation\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eBasic and Advanced Regression\u003cspan\u003e techniques\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eClassification \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eUn Supervised Learning\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eText Analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eNeural Network and Deep Learning \u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eRecommendation System \u003cspan\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e \u003c\/span\u003eTime Series Analysis \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e"}
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Machine Learning with Python
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Author: Abhishek Vijayvargia Price: 297, ISBN: 9789386551931 ISBN: 9789388511315, Pages: 267, Edition: 1st 2018 Paperback Territory: Worldwide *It includes the CD which has...
{"id":1755111686188,"title":"Data Science with Machine Learning -Python Interview Questions","handle":"data-science-with-machine-learning-python-interview-questions","description":"\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePrice: Rs. 249\/-\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Author: Vishwanathan Narayanan \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eISBN# 9789388176637\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Pages : 144, Edition: 1st\/ 2019, \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eWeight: 210gm, Binding \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePaperback\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Length: 23x15x1.8 cm,\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eTerritory: Worldwide \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book “Data science with Machine learning- Python interview questions is for people who wish to comprehend the vast ocean of the above fields just before the interview.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book is a true companion of people aspiring for data science and machine learning and provides answers to most asked questions and provides easy to remember and presentable answers.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book will remain ever youthful as the concept described in the book is not likely to change with immediately.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e \u003cb class=\"ydp2bc97560yiv4867456548\"\u003eKey features:\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul type=\"disc\" class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eEasy to learn, step by step explanation of examples.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eQuestions related to core\/basic Python, Excel, basic and advanced statical are included.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e Covers numpy, scipy, sklearn and pandas to a greater detail with a good number of examples\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eData Science Basic Questions and Terms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003ePython Programming Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eNumpy Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003ePandas Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eScipy and its Applications\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMatplotlib Samples to Remember\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eStatistics with Excel Sheet\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ydp2bc97560yiv4867456548\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eAuthor:\u003c\/b\u003e\u003c\/div\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMr. Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. \u003c\/span\u003ePlaying with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning. Teaching is his passion and he is proud to have taught more than a thousand students across the globe.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548MailOutline\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\"This book delivers what it promises, covering machine learning and data science from the interview perspective. Most of these questions are regularly asked in an interview and the answers are to the point. Appreciate for this gold mine for students, professional and Teachers.\"\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoListParagraph\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e-\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003eKaustubh Panchal 11 years exp in ML, Big Data and data science as Solution Architect.\u003c\/span\u003e\u003c\/p\u003e","published_at":"2019-03-29T11:15:17+05:30","created_at":"2019-03-29T11:24:52+05:30","vendor":"Vishwanathan Narayanan","type":"Book","tags":["Data Science","Interview Questions","Machine learning with Python"],"price":22500,"price_min":22500,"price_max":22500,"available":true,"price_varies":false,"compare_at_price":24900,"compare_at_price_min":24900,"compare_at_price_max":24900,"compare_at_price_varies":false,"variants":[{"id":14326531129388,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"9789388176637","requires_shipping":true,"taxable":false,"featured_image":null,"available":true,"name":"Data Science with Machine Learning -Python Interview Questions","public_title":null,"options":["Default Title"],"price":22500,"weight":210,"compare_at_price":24900,"inventory_quantity":150,"inventory_management":"shopify","inventory_policy":"continue","barcode":"9789388176637"}],"images":["\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388176637.jpg?v=1554444923"],"featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/2228\/7547\/products\/9789388176637.jpg?v=1554444923","options":["Title"],"content":"\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePrice: Rs. 249\/-\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Author: Vishwanathan Narayanan \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eISBN# 9789388176637\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Pages : 144, Edition: 1st\/ 2019, \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eWeight: 210gm, Binding \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003ePaperback\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003e Length: 23x15x1.8 cm,\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cspan color=\"#919191\"\u003eTerritory: Worldwide \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book “Data science with Machine learning- Python interview questions is for people who wish to comprehend the vast ocean of the above fields just before the interview.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book is a true companion of people aspiring for data science and machine learning and provides answers to most asked questions and provides easy to remember and presentable answers.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eThe book will remain ever youthful as the concept described in the book is not likely to change with immediately.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e \u003cb class=\"ydp2bc97560yiv4867456548\"\u003eKey features:\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul type=\"disc\" class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eEasy to learn, step by step explanation of examples.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eQuestions related to core\/basic Python, Excel, basic and advanced statical are included.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e Covers numpy, scipy, sklearn and pandas to a greater detail with a good number of examples\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003eData Science Basic Questions and Terms\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003ePython Programming Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eNumpy Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003ePandas Interview Questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eScipy and its Applications\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMatplotlib Samples to Remember\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eStatistics with Excel Sheet\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ydp2bc97560yiv4867456548\"\u003e\u003cb class=\"ydp2bc97560yiv4867456548\"\u003eAuthor:\u003c\/b\u003e\u003c\/div\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoNormal\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan lang=\"EN-US\" class=\"ydp2bc97560yiv4867456548\"\u003eMr. Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. \u003c\/span\u003ePlaying with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning. Teaching is his passion and he is proud to have taught more than a thousand students across the globe.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"ydp2bc97560yiv4867456548MailOutline\"\u003e\n\u003cli class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e\"This book delivers what it promises, covering machine learning and data science from the interview perspective. Most of these questions are regularly asked in an interview and the answers are to the point. Appreciate for this gold mine for students, professional and Teachers.\"\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"ydp2bc97560yiv4867456548MsoListParagraph\"\u003e\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e-\u003cspan class=\"ydp2bc97560yiv4867456548\"\u003e \u003c\/span\u003eKaustubh Panchal 11 years exp in ML, Big Data and data science as Solution Architect.\u003c\/span\u003e\u003c\/p\u003e"}
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Data Science with Machine Learning -Python Interview Questions
Rs. 249
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Price: Rs. 249/- Author: Vishwanathan Narayanan ISBN# 9789388176637 Pages : 144, Edition: 1st/ 2019, Weight: 210gm, Binding Paperback Length: 23x15x1.8 cm,...
