Naushad Khan's repositories
pbixrefresher-python
Refresh Power BI reports programmatically for free
Tableau-Embed-Example
Simple example embedding a Tableau visualisation in a sample admin portal
advanced-shiny
🤹 Shiny tips & tricks for improving your apps and solving common problems
co-learning-lounge
Welcome to the one point community-driven encyclopedia for anything in technology.
faceit_live
Swap your face in realtime to someone's else.
gramex-nlg
Natural Language Generation for Gramex applications.
MediumArticles
Sample of Python codes from mathematical problems
mwshiny-examples
A small repository of examples for the mwshiny package in R for various multi-monitor situations.
notebooks
Notebooks to show Quantipy, Datasmoothie and Blender in action.
OSPPre
OSPPre (Open Source Parts Prediction), largely inspired by Aquant.io's Smart Triage Feature
PBI-Embedded-ASP.NET
Welcome to Power BI Embedded Step by Step Series. Using this GitHub Repository you can download complete solution.
pbpython
Code, Notebooks and Examples from Practical Business Python
PowerBI-JavaScript
JavaScript library for embedding Power BI into your apps. Check out the docs website and wiki for more information.
powerbi-macguyver-toolbox
Power BI report .pbip templates and patterns to create special visuals, address specific problems, and have adventures..
powerbiadoption
Power BI Adoption Framework
PowerBIAdvWorks
PowerBI Adventureworks data analysis
PowerBiEmbeddedScratchpad
PowerBiEmbeddedScratchpad - a proof of concept application for developers using Power BI embedding.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
tableau-semiotic-hierarchy
A plugin for tableau built off of semiotic hierarchy charts
tableau_sunburst
Sunburst Tableau extension which integrates D3 with tableau and creates a custom sunburst visualization
tapas
End-to-end neural table-text understanding models.
tapas-demo
A small demo to show the power of Google's TAPAS
tc19
Demos for Tableau Conference 2019
textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.