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1_life_cycle_neural_network_models_in_keras
Minimal examples of data structures and algorithms in Python
A python wrapper for Alpha Vantage API for financial data.
Easiest way to create your own cryptocurrency
# Analyzing-Visualizing-Data-PowerBI ![Analyzing-Visualizing-Data-PowerBI](https://www.edx.org/sites/default/files/course/image/promoted/dat207x-course_card_image11122015-378x225.png) This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on [edX](https://www.edx.org/course/analyzing-visualizing-data-power-bi-microsoft-dat207x). ## DataSet / Examples Terms of Usage and Disclaimer Throughout the course you will use examples and datasets provided through text files, Excel workbooks, SQL backup, and Access database. They are provided "as-is." Information and views expressed in the workbooks, including URL and other Internet Web site references, may change without notice. You bear the risk of using it. Some examples are for illustration only and are fictitious. No real association is intended or inferred. Microsoft makes no warranties, express or implied, with respect to the information provided here. These datasets/examples do not provide you with any legal rights to any intellectual property in any Microsoft product. You may copy and use these resources for your internal, reference purposes. The workbooks and related data are provided by [obviEnce](www.obvience.com). ObviEnce is an ISV and an Intellectual Property (IP) Incubator focused on Microsoft Business Intelligence. ObviEnce works closely with Microsoft to develop best practices and thought leadership for jump-starting and deploying Microsoft Business Intelligence solutions. The workbooks and data are property of obviEnce, LLC and have been shared solely for the purpose of demonstrating Power BI functionality with industry sample data. Any uses of the workbooks and/or data must include the above attribution (that is also on the Info worksheet included with each workbook). The workbook and any visualizations must be accompanied by the following copyright notice: obviEnce ©. By clicking any of the links to download the files, you are agreeing to the terms above. ###Important All the data you need for this course is provid
A list of random antipatterns
Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Some thing interesting about web. New door for the world.
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.