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Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…
Real time analytics: Kafka + Druid + Superset. Setting up streaming analytics using open source technologies -> Apache {Kafka, Superset, Druid} to set up a system that allows you to get a visualization of some data.
Audiometry is an application framework written in C# and based on WPF and .NET that enables accurate digital recording, search, analysis, graphical visualization, and reproduction of human audio-vestibular impairment test data to assist in hearing loss or disability diagnosis.
==> I made this repository to post my Programming code with Python and document my progress while Learning Python for Everybody Specialization From the University of Michigan in Coursera
The repository contains certain lines of code that uses the concept of "Multi-Step Data Analysis" and utilizes Google Maps API to find particular addresses to visualize the latter on a map.
This repo supports the project I produced for the Honors Track Assignment of the final Course 'Capstone - Retrieving, Processing and Visuallizing Data with Python' from 'Python for Everybody' Specialization by the 'University of Michigan' on Coursera.