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Module 5. First, I make a critical review of the Kaggle's dataset proposed for this ABADSII’s module. Next I identify a more suitable repository using the same population pool and derive a new dataset respecting the same time window used by the Kaggle's one. Finally, I benchmark the two datasets and suggest the last as the most potentially appro…

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ALURA_M5projeto-_The_road_not_taken

This is Aldir MEDEIROS FILHO's project deliver to Module 5 of Alura Bootcamp APPLIED Data Sciences (Winter 2021)

It is composed of 3 Colab notebooks:

  • M5_Part_I_Kaggle_sl_k_dataset_AMF_cleaning.ipynb: my critical review of dataset made available in Kaggle.

  • M5_Part_II_C19_FAPESP_DataSharing_BR_HSL_short_Object_names.ipynb : deriving a new dataset from a different repository to match Kaggle's one.

  • M5_Part_III_Benchmarking_Kaggle_vs_FAPESP_Data_Sharing_BR.ipynb : benchamarking the two datasets from different sources and conclusions.

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Module 5. First, I make a critical review of the Kaggle's dataset proposed for this ABADSII’s module. Next I identify a more suitable repository using the same population pool and derive a new dataset respecting the same time window used by the Kaggle's one. Finally, I benchmark the two datasets and suggest the last as the most potentially appro…

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machine-learning alura kaggle-dataset fapesp covid19 covid19-tracking hospital-sirio-libanes

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