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Contact Tracing for COVID-19 Using The DBSCAN Clustering Algorithm | Pavi Dhiman
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Contact tracing is a tool used by local authorities to identify people who could’ve been infected by COVID-19 through contact transmission. In this video, I explain the importance of contact tracing, how to build out the algorithm using the machine learning model DBSCAN, a density based clustering algorithm and give a live demo.
Video Timeline:
0:00 - 1:41 - Intro
1:41 - 4:29 - Contact Tracing + DBSCAN Intro
4:30 - 6:22 - JSON Data Explanation
6:22 - 10:06 - Preliminary Instance Information of Data
10:06 - 13:35 - Exploratory Data Analysis
13:35 - 16:29 - Defining the Model
16:30 - 17:44 - Testing the Model
17:45 - 18:42 - Live Demo
18:42 - 20:25 - Outro
Video Timeline:
0:00 - 1:41 - Intro
1:41 - 4:29 - Contact Tracing + DBSCAN Intro
4:30 - 6:22 - JSON Data Explanation
6:22 - 10:06 - Preliminary Instance Information of Data
10:06 - 13:35 - Exploratory Data Analysis
13:35 - 16:29 - Defining the Model
16:30 - 17:44 - Testing the Model
17:45 - 18:42 - Live Demo
18:42 - 20:25 - Outro