Scraper Record Of Training
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Scraper Record Of Training
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Author : Safety Guides
language : en
Publisher:
Release Date : 2017-03-31
Scraper Record Of Training written by Safety Guides and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-31 with categories.
Our Record of Training Logbooks will assist you in meeting your legal obligations to provide a record of on-the-job and previous training and supervision. In this record, which consists of a two page comprehensive layout, you will be able to account for and record all training and supervision done. Features include: a. Elements of training/Work Tasks performed b. Description of work done/Training undertaken c. Date, Time started, Time Ended, Number of training hours d. Machine Details e. Supervisor/Competent person information to include, Name, Signature and Experience and any other pertinent information f. Size: 8.5 x 6 (close in size to A5 rotated) g. Easy to use, handy and convenient Thank you for choosing Safety Guides Other Logbooks are available, to find and view them, search for Safety Guideson Amazon or simply click on the name Safety Guides beside the word Author.
Hands On Web Scraping With Python
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Author : Anish Chapagain
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-06
Hands On Web Scraping With Python written by Anish Chapagain and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Computers categories.
Work through practical examples to unlock the full potential of web scraping with Python and gain valuable insights from high-quality data Key Features Build an initial portfolio of web scraping projects with detailed explanations Grasp Python programming fundamentals related to web scraping and data extraction Acquire skills to code web scrapers, store data in desired formats, and employ the data professionally Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWeb scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience. Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning. This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.What you will learn Master web scraping techniques to extract data from real-world websites Implement popular web scraping libraries such as requests, lxml, Scrapy, and pyquery Develop advanced skills in web scraping, APIs, PDF extraction, regex, and machine learning Analyze and visualize data with Pandas and Plotly Develop a practical portfolio to demonstrate your web scraping skills Understand best practices and ethical concerns in web scraping and data extraction Who this book is for This book is for beginners who want to learn web scraping and data extraction using Python. No prior programming knowledge is required, but a basic understanding of web-related concepts such as websites, browsers, and HTML is assumed. If you enjoy learning by doing and want to build a portfolio of web scraping projects and delve into data-related studies and application, then this book is tailored for your needs.
Scraping The Barrel The Military Use Of Sub Standard Manpower
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Author : Sanders Marble
language : en
Publisher: Fordham Univ Press
Release Date : 2012-07-02
Scraping The Barrel The Military Use Of Sub Standard Manpower written by Sanders Marble and has been published by Fordham Univ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-02 with History categories.
From the dawn of organized conflict, sub-standard men--the inverse of the elites that get the lion's share of our attention-- have served their countries. This is their untold history.
Decisions
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Author : United States. Federal Mine Safety and Health Review Commission
language : en
Publisher:
Release Date : 1989-02
Decisions written by United States. Federal Mine Safety and Health Review Commission and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-02 with Coal mines and mining categories.
Congressional Record
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Author : United States. Congress
language : en
Publisher:
Release Date : 1969
Congressional Record written by United States. Congress and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Law categories.
Mastering Net Machine Learning
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Author : Jamie Dixon
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-03-29
Mastering Net Machine Learning written by Jamie Dixon and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-29 with Computers categories.
Master the art of machine learning with .NET and gain insight into real-world applications About This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more common .NET libraries for machine learning Implement several common machine learning techniques Evaluate, optimize and adjust machine learning models Who This Book Is For This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required. What You Will Learn Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0 Set up your business application to start using machine learning. Accurately predict the future using regressions. Discover hidden patterns using decision trees. Acquire, prepare, and combine datasets to drive insights. Optimize business throughput using Bayes Classifier. Discover (more) hidden patterns using KNN and Naive Bayes. Discover (even more) hidden patterns using K-Means and PCA. Use Neural Networks to improve business decision making while using the latest ASP.NET technologies. Explore “Big Data”, distributed computing, and how to deploy machine learning models to IoT devices – making machines self-learning and adapting Along the way, learn about Open Data, Bing maps, and MBrace In Detail .Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines. This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions. You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results. Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly Style and approach This book will guide you in learning everything about how to tackle the flood of data being encountered these days in your .NET applications with the help of popular machine learning libraries offered by the .NET framework.
Host Bibliographic Record For Boundwith Item Barcode 30112106524124 And Others
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Author :
language : en
Publisher:
Release Date : 2013
Host Bibliographic Record For Boundwith Item Barcode 30112106524124 And Others written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Job Corps Placement Manual
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Author : Job Corps (U.S.)
language : en
Publisher:
Release Date : 1969
Job Corps Placement Manual written by Job Corps (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Vocational guidance categories.
Special Aids For Placing Military Personnel In Civilian Jobs
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Author : United States. Bureau of Manpower Utilization
language : en
Publisher:
Release Date : 1944
Special Aids For Placing Military Personnel In Civilian Jobs written by United States. Bureau of Manpower Utilization and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1944 with Job analysis categories.
Hearings
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Author : United States. Congress. House. Committee on Appropriations
language : en
Publisher:
Release Date : 1921
Hearings written by United States. Congress. House. Committee on Appropriations and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1921 with categories.