Practical usage of python ecosystem to build the AI model to fight with SARS-CoV-2 through predictive analytics from droplet spread dataset

카테고리: 데이터 과학 (Data Science)
난이도: 중급
발표 시간: 30분
언어: 영어


We use diverse python libraries such as Pandas, Scikit-learn, Seaborn, and TensorFlow from data processing to data visualisation to fight the Covid-19 disease spread. Besides, by using the Deep Learning python-based framework TensorFlow we have built an Artificial Intelligence system to analyse and predict covid risk infection under various circumstances. Artificial Intelligence is used for generating and interpolating from low-resolution to high-resolution data for various conditions of the experimental setup, particle distribution estimation, and risk infection prediction.

발표자 소개

Leksikov Sergey
Leksikov Sergey

Sergey is a ML Researcher with hand on experience of analysing various datasets. He graduated MS from KAIST. Currently works in Lablup Inc.

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