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  • 2020-2024  (9)
  • We, Dan  (9)
  • Edward Elgar Publishing
  • Safari, an O’Reilly Media Company
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (9)
  • 1
    Online Resource
    Online Resource
    Deploying Machine Learning Models with Flask for Beginners (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801077187
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create APIs for machine learning with Flask and deploy your application to the web About This Video Create your own API endpoint for your machine learning models Create a Flask application from scratch Deploy your model on the web In Detail Flask is a web application framework used to develop web applications. Getting started with Flask is easy, and its power lies in its ability to scale up to complex applications. In this course, you’ll learn the most effective ways to use Flask in order to create your own web application. You’ll begin with an introduction to Flask and quickly dive into defining and training your model. You’ll perform various actions on this model to train it and ensure that it is of the best quality for your application. You’ll also create and test API endpoints so you can predict the model’s behavior over time. By the end of this course, you’ll have the confidence to deploy this application to the web and learn how to fix any errors that may arise during this process.
    Note: Online resource; Title from title screen (viewed April 21, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    KNIME – A Guide for Absolute Beginners (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801078108
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use KNIME for data cleaning with a case study and learn how to perform some advanced data preparation About This Video No coding required Learn the basics and build a solid foundation during the case study Learn how to prepare advanced data preparation with KNIME In Detail Data cleaning is always a big hassle, especially if we are short on time and want to deliver crucial data analysis insights to our audience. KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool. In this course, we start from the basics and learn KNIME in a (hopefully) fun and easy way by going through a case study together and prepare the data based on the requirements in the case study. After completing our data prep, we will learn how to visualize data using tools such as Power BI and Tableau. Finally, we also briefly cover the predictive analytics capabilities of KNIME and see how easy machine learning in KNIME can be. By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code.
    Note: Online resource; Title from title screen (viewed July 29, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Tableau Prep Builder for Beginners – Getting Started (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801074889
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A beginner’s guide to using Tableau Prep Builder for data preparation and data cleaning About This Video Learn new ways to easily prepare data by only clicking or drag and drop with Tableau Use different case studies to understand the power of Tableau Prep Builder Perform data preparation and data cleaning with Tableau Prep Builder In Detail Are you interested in data analytics and (self-service BI) business intelligence? Are you already using Tableau or plan to use it soon? You might have already seen Tableau as a visual analytics tool in action. You might have created Tableau dashboards yourself. But as you know, the result of visualizing your data is only the tip of the iceberg. As data analysts spend a huge amount of their time cleaning and preparing data, this process is quite tedious. However, it is most important to get the data cleaned and in the right format. Meet Tableau Prep Builder! A great tool that can help us in doing data preparation/data cleaning fast and efficiently. In this Tableau Prep Builder course, you will learn all you need to know to use the power of Tableau Prep Builder for your own data cleaning tasks. The course is developed for beginners. Hence, no prior knowledge is required even though working with Tableau before would be an advantage. This course will first explore the Tableau Prep Builder interface and then perform three case studies to understand how to use Tableau Prep Builder for data cleaning and data preparation. By the end of this course, you will be able to use the power of Tableau Prep Builder for data cleaning. Who this book is for This course is for all Tableau users who need to do data cleaning. Aspiring data analysts or data scientists or report creators can also benefit from this course. This course is a crash course for beginners; hence, we start from scratch so no specific knowledge is required but you should be familiar with Tableau. Tableau Prep builder 14-day Trial version could be used in case you do not have a license (yet).
    Note: Online resource; Title from title screen (viewed August 27, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Data science and Data preparation with KNIME (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801073288
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: KNIME - A powerful tool for data science and machine learning About This Video No coding required Solve a data cleaning example together and enhance your basic KNIME skills Increase your productivity and save time in your data preparation tasks In Detail Data preparation, data cleaning, data preprocessing (whatever you want to call it) is quite often the most tedious and time-consuming work in the data science/data analysis area. Especially if we are short of time and want to deliver crucial data analysis insights to our audience. KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool. In this course, we will learn the efficient ways to import multiple files into KNIME, loops, web scraping, scripting (using Python code in KNIME), hyperparameter optimization, and feature selection. Also, learn basic machine learning workflows and helpful nodes for this in KNIME. By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code. Who this book is for This course is designed for aspiring data scientists and data analysts who want to work smarter, faster, and more efficiently. This course is also for anyone who wants to learn how to effectively clean data or encounter various data issues (for example, format) in the past and is looking for a solid solution, and who is familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course. Note: Tableau Desktop and Microsoft Power BI Desktop are optional.
    Note: Online resource; Title from title screen (viewed September 28, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Power BI Masterclass (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801070959
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Master Microsoft Power BI and learn to perform Power BI Calculation Groups, Power BI Charticulator, Power BI Performance Tips, Power BI AI, DAX table calculations, and Excel. About This Video Learn to handle many-to-many relationships in Power BI Master DAX and use Python with data science tools Learn additional tips and tricks to improve your skills In Detail Microsoft Power BI is an advanced yet easy-to-get-started self-service business analytics/business intelligence solution. Power BI is also a great tool for data science. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore, learning to use this tool can be a valuable skill for data science jobs. This course is divided into six sections. We will first start with understanding DAX table calculations with Power BI Desktop and Excel and master DAX. In the second section, we will learn Microsoft Power BI tips and tricks from project experience and research. In the third section, we will be solving data prep challenges. In the fourth section, we will master advanced DAX calculations and build on your acquired knowledge from the prior sections. In section five, we will be combining data science tools such as Python with Power BI. In the last section, we will cover Power BI best practices, Power BI Calculation Groups, Power BI Charticulator, Power BI performance tips, and Power BI AI. By the end of this course, you will have the skills and capabilities to analyze and understand data with Power BI. Who this book is for The course is not meant for total beginners. You should have some prior knowledge of Power BI. This course is for data analysts and everyone who strives for a career in data analytics.
    Note: Online resource; Title from title screen (viewed November 23, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Alteryx Masterclass - Let's Get Started (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801074803
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Master the fundamentals of Alteryx for data cleaning and data preparation. About This Video Grasp the fundamentals of Alteryx Clean and prepare data in Alteryx Derive insights from your data In Detail Alteryx is a data preparation and cleaning tool used mainly by data scientists to clean and prepare data. Its effectiveness lies in its user-friendly interface and variety of tools that can be used for data analysis. In this course, you'll learn the fundamentals of Alteryx and work on preparing and deriving insights from your data. You'll begin by getting an introduction to Alteryx and learn how to get your data into Alteryx. You'll learn how Alteryx cleans data in an efficient way, and how to use this to your advantage. You'll use tools such as 'union' and 'replace' to combine and clean your data, 'cross tab' and 'transpose' to pivot your data, and a host of additional useful tools to learn the dynamics of Alteryx. You'll also work on a case study to cement your knowledge of Alteryx. By the end of this course, you'll be a confident data scientist with the knowledge of Alteryx to clean and prepare your data in the best way possible.
    Note: Online resource; Title from title screen (viewed July 28, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    Mastering the Power BI Key Fundamentals (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781803247922
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Power BI DAX row context, filter context, context transition, DAX iterators, expanded tables in Power BI and master the key concepts About This Video Learn Power BI DAX fundamentals and concepts to start your data analysis journey Short and comprehensive course from the industry expert Comes bundled with resource files that can be implemented while learning In Detail Business intelligence/business analytics is in high demand. Companies are constantly searching for ways to make better and faster and smarter decisions. Therefore, they rely heavily on data. Small company or multinational - data-driven decision making is the key to success for any business in the world of tomorrow. Because of this, companies are drastically increasing to step up their efforts to find skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights. Therefore, Power BI as the leading BI tool from Microsoft is in remarkably high demand. When we want to do calculations in Power BI, we need DAX (Data Analysis Expressions). Here, we explore all the DAX fundamental key concepts. You will start with looking at row context, followed by iterators. After that, you will look at filter context and context transition. Finally, you learn about the expanded tables. By the end of this course, you will learn the fundamental key concepts of DAX in Power BI to do your data analysis work. You can repeat the concepts from time-to-time and master your DAX journey. Who this book is for This course is designed for students who want to master Power BI DAX and understand key concepts in DAX. Individuals who want to become a better Power BI developer, a data analyst, and those who want to follow this career path will also get benefitted from this course. Data scientists who want to use Power BI and business users who work with Power BI and need to create DAX calculations will gain a lot as well. Prior experience with Power BI and DAX is required. Advance-level knowledge based on Power BI would be helpful but not mandatory.
    Note: Online resource; Title from title screen (viewed December 21, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    Online Resource
    Online Resource
    KNIME for Data Science and Data Cleaning (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801071413
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Perform data science with KNIME. Learn how to do data cleaning, AI machine learning, ETL, and data preprocessing with KNIME About This Video No coding required Solve data cleaning challenges together and enhance your basic KNIME skills Learn the fundamentals for NLP tasks in KNIME using only KNIME nodes In Detail Data cleaning is always a big hassle, especially if we are short on time and want to deliver crucial data analysis insights to our audience. KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool. In this course, we will learn how to use additional helpful KNIME nodes not covered in the other two classes. Solve data cleaning challenges together for different datasets. Use pre-trained models in TensorFlow in KNIME (involves Python coding). Also, learn the fundamentals for NLP tasks (Natural Language Processing) in KNIME using only KNIME nodes (without any additional coding). By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code. Who this book is for This course is designed for aspiring data scientists and data analysts who want to work smarter, faster, and more efficiently. This course is also for anyone who wants to learn how to effectively clean data or encounter various data issues (for example, format) in the past and is looking for a solid solution, and who is familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course. Note: Tableau Desktop and Microsoft Power BI Desktop are optional.
    Note: Online resource; Title from title screen (viewed August 24, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    How to Build Your Own First Voice Assistant in Python (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781803234274
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Create your own first virtual assistant in Python in less than 90 minutes and modify its functionalities at your will with the help of basic Python libraries and modules. About This Video Build your personal voice assistant with the help of Python libraries and modules from scratch Python beginners and experts can benefit from this project Comes bundled with resource files that can be implemented while learning and add it to your own portfolio In Detail Learning through your own little projects is the best and most enjoyable way to improve your skills. In the world of today, we all already use virtual assistants such as Alexa, Siri, Google Assistant, and others increasingly in our daily life. It is convenient and this will only increase in the next few years. So, wouldn't it be interesting to learn the fundamentals to create our own virtual assistant? This is exactly the goal of this course, and it creates a lot of fun doing it. We can ask our virtual assistant to play songs, search YouTube, return stock quotes, and do many other things. Doesn't that sound interesting? So, let's not waste any time and start working on this project together. You will start by running Jupyter Notebook and understanding some basic Python libraries. Followed by adding components of your virtual assistant like data, time, voice to text, and so on. Finally, you will execute and test your virtual assistant and modify it as per your requirement. The cherry on the top, you can also add this project to your own portfolio later to show potential employers your skills! By the end of this course, you will build a working and your first personal virtual assistant using Python and learn some basic Python libraries and modules. Who this book is for The course is designed for beginner to advanced level Python enthusiasts. Everyone who is interested in building a virtual assistant or students interested in building a chatbot, and finally, the ones who are interested in starting programming and looking for a project to add to their portfolio. Windows system and Jupyter Notebook are used while building this project but feel free to choose the editor of your choice. No programming knowledge is required.
    Note: Online resource; Title from title screen (viewed December 22, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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