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Machine learning project aimed at predicting new COVID-19 cases using historical COVID-19 and mobility data. The project involves data fetching, migration, preprocessing, exploratory data analysis (EDA), feature engineering, data splitting, model training, and evaluation.
Executes python scripts in different environments without writing temp files to disk, it can pass and receive any type of variable, multiprocessing can be executed from everywhere, not only at top-level