This course aims to teach learners how to utilize data science techniques to predict COVID-19 cases at the county level in the United States and detect COVID-19 using chest x-rays. The course covers topics such as building machine learning models, leveraging AutoML to simplify AI implementation, incorporating expertise in real estate data, and evaluating and explaining predictive models. The teaching method involves a presentation by a Customer Success Data Scientist, focusing on practical projects and real-world applications. This course is intended for data scientists, AI enthusiasts, and individuals interested in applying data science to address challenges related to the COVID-19 pandemic.
Overview
Syllabus
Intro
Machine learning models
Reality is more complex than one variable
Lowering the barrier to Al - AutoML
Expertise in Real Estate
Data Science and COVID-19
COVID-19 in the United States
Daily Predictions to identify Counties to Have Covid-19
Daily Predictions for Covid-19
Start with Socio-Economic Data
Evaluating the Model
Explaining the Model
Next Steps -- Second Generation
What data was used?
COVID-19 Chest X-rays
COVID Embeddings
Taught by
GOTO Conferences
