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coronavirus

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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

  • Updated Jun 14, 2021
  • Jupyter Notebook
loCoder
loCoder commented Apr 2, 2020

Describe the bug
In the raw database, genders of some patients is missing, and the same is reflected in the cluster by displaying it as female. Also, it may not be possible for the crowd-sourced data to get gender of all the patients. Also, it gives wrong visualization inference, that more females are infected by the virus.

To Reproduce
Steps to reproduce the behavior:

  1. Go t
felipeelorrieta
felipeelorrieta commented Nov 12, 2021

Hola, los datos de casos confirmados por comuna presentes en el producto 94 no cuadran con los datos del informe de TTA en la última fecha de la última actualización y por lo tanto tampoco cuadra la razón de contactos por casos por región y nacional.
Como ejemplo, en el último informe de TTA se informan 281 casos en la Región de Tarapacá,
Si vemos los casos por comuna disponibles en el producto

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