Srinivas's repositories
autism
Data Challenge on Autism Spectrum Disorder detection
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Autism-Detection-API
This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask API to make predictions in the cloud.
Language:Rich Text FormatMIT000
Data-Science--Cheat-Sheet
Cheat Sheets
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