marioceron/pipeline_flask_category_model

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Created over 4 years ago
Updated over 4 years ago

marioceron/pipeline_flask_category_model

marioceron

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Pipeline for Category Model (in Python - flask) for the Datascience Training

DS4A_Datathon_Team03_2019

Analyze the New York City Uber trip data, potentially in combination with supplementary datasets, in order to increase understanding of how developments in the NYC for hire transport industry relate to broader trends in the public and private transportation industries at large. Trip data is available, including data from green boro taxis, yellow medallion taxis, and NYC subway turnstiles. We also provide demographic info on age and income, geographic data for the Neighborhood Tabulation Areas (NTAs) of NYC, and daily weather data for NYC.

Jupyter Notebook

DS4A_Integrated_Risk_Information_Map_Final_Project_Team03_2019

Integrated Map of Risk Information in Colombia. It presents key information of the general situation of the country in terms of risk and can be used as a tool to guide future decisions in the different regions. The Dashboard Web Application allows any person to find, read and understand the basic risk profile of their region of interest and also understand about climate associated risks