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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
JorgeJimenezT
JorgeJimenezT commented Sep 6, 2021

Hola buenas noches, quería consultarles por el producto 1 y las cifras del minsal.

Cuando sumo el último día del archivo covid-19.csv para todas las comunas me da un total de 1.97 millones. Sin embargo la cifra del minsal al día de hoydice que hay 1.640.666 casos confirmados. Cual es el criterio para contabilizar en el archivo?

Gracias y saludos.
Jorge

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