lgaalves/AppliedMathSchoolLectures
Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo
This project provides lecture materials for analyzing crime and political corruption using data. It helps generate predictions of crime rates in cities and visualize connections within political corruption scandals. This resource is designed for analysts, researchers, or data scientists working in public policy, criminology, or political science.
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Use this if you need to learn how to apply data mining, machine learning, and network analysis techniques to understand and predict social issues like crime and corruption.
Not ideal if you are looking for a plug-and-play software tool, as this is a collection of educational materials requiring hands-on learning and coding.
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Jupyter Notebook
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Last pushed
Jul 07, 2019
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