Graffs for the MEDEA project
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Updated
Jun 11, 2020 - HTML
Graffs for the MEDEA project
Standalone HTML with interactive plots, configurable from the markup
An application to detect motion of any object using any camera device and analysis of output data using plot and CSV file
Interactive Data visualization of pulsar Dynamic spectra
Prototype of a web application designed using python libraries Bokeh and Panel.
Financial graph plotting using Bokeh module
Plotting candlestick graph of Stock Market DATA in Webpage with the help of Flask
An Apache Spark streaming project that aims to collect, process, and analyze Twitter data in real-time with dashboard insights using various tools and frameworks like Python, Spark, HDFS, Hive, and Bokeh.
Python/Flask app that delivers dynamic, local results of the UK 2017 General Election based on the users post code including list of candidates that stood, the likelihood of the MP losing at the next election, data visualisation (vote share), and links to the MPs profile on theyworkforyou.com
Working on some Python Libraries in jupyter
In your heaaaaaaad, in your headdddd, zooooombie, zoombieeee, zombieh, eh, eh,eh, oh oh
Here we are detecting objects motion and timing of motion detected and and then plotting graph using bokeh Library For Visualization
Showcase your work using streamlit and Gradio
A regression model to predict the sound pressure level
Implementation of Data Visualization using Bokeh and Python
EDA and Capacity planning of Bluebike, Boston.
Dr. John Snow was a famous British physician. In this project, we're not only going to rediscover his "data story", but reanalyze the data that he collected in 1854 and recreate his famous map (also called The Ghost Map).
Recognition of user-input characters (currently on arabic numerals)
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