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PRODID:-//pretalx//pretalx.evolutio.pt//H8ZHTY
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DTSTART:20001029T030000
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UID:pretalx-pyconpt2022-H8ZHTY@pretalx.evolutio.pt
DTSTART;TZID=WET:20220924T104500
DTEND;TZID=WET:20220924T112000
DESCRIPTION:Python\, as a one-stop-shop for Machine Learning\, Geospatial A
 nalytics\, Optimization Algorithms\, and Visualization Tools\, can be leve
 raged to create a simple yet effective sustainability decision-making meth
 odology with just four steps: Geospatial Indexing\, Feature Engineering\, 
 Predictive Scoring\, and Score Optimization.\n\nWith it\, it's possible to
  tackle distinct sustainable development issues\, from mobility transition
  to light pollution in a way that decision-makers can quickly implement it
  to take action for the Sustainable Development Goals.
DTSTAMP:20260416T021737Z
LOCATION:Auditorium
SUMMARY:A Python-Based Methodology for Solving Sustainability Problems with
  Data Science - Diogo Valente Polónia\, João Afonso Pereira\, Patrícia 
 Rocha\, João Matos
URL:https://pretalx.evolutio.pt/pyconpt2022/talk/H8ZHTY/
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