Esses são alguns sites que podem ser utilizados como fontes de dados públicos:

Brasileiros:

• IPEA DATA: http://www.ipeadata.gov.br/

• IBGE: https://www.ibge.gov.br/

• Banco de Informações Econômicas e Financeiras do Banco Central: https://www3.bcb.gov.br/sgspub/localizarseries/localizarSeries.do?method=prepararTelaLocalizarSeries

• Datasus: http://datasus.saude.gov.br/

• Portal da transparência: http://transparencia.gov.br/

• Polícia federal - Ministério da justiça e segurança pública: http://www.pf.gov.br/institucional/acessoainformacao/acesso-a-informacao

• Ministério da Cultura: http://sistemas.cultura.gov.br/comparar/salicnet/salicnet.php

• Portal brasileiro de dados abertos: http://dados.gov.br/dataset

• Microdados do ENEM: https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados

• Dados Abertos da ALESP: https://basedosdados.org/dataset/br-sp-alesp

• Forest Fires in Brazil: https://www.kaggle.com/gustavomodelli/forest-fires-in-brazil

• Indicadores Financeiros BNDES: https://dadosabertos.bndes.gov.br/pt_PT/dataset/indicadores-financeiros

• Crime Data in Brazil: https://www.kaggle.com/datasets/inquisitivecrow/crime-data-in-brazil

Estrangeiros:

• Age of Abalone shell: https://www.kaggle.com/rodolfomendes/abalone-dataset

• Cancer death rate: https://data.world/nrippner/ols-regression-challenge

• Life expectancy (World Health Organization): https://www.kaggle.com/kumarajarshi/life-expectancy-who/

• Car prices: https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho?ref=hackernoon.com&select=Car+details+v3.csv

• NBA rookie stats: https://data.world/exercises/logistic-regression-exercise-1

• Stroke prediction: https://www.kaggle.com/fedesoriano/stroke-prediction-dataset

• Water potability: https://www.kaggle.com/adityakadiwal/water-potability

• Smart grid stability: https://www.kaggle.com/pcbreviglieri/smart-grid-stability

• IBM HR analytics & employee attrition: https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset

• Can I eat this mushroom?: https://www.kaggle.com/uciml/mushroom-classification

• Banknote authentication: https://www.kaggle.com/ritesaluja/bank-note-authentication-uci-data

• Adult income dataset: https://www.kaggle.com/wenruliu/adult-income-dataset

• Yeast classification: https://www.openml.org/search?type=data&sort=runs&id=181

• UCI Machine Learning Repository Center para Machine Learning e Sistemas inteligentes: https://archive.ics.uci.edu/ml/datasets.php

• Kaggle: https://www.kaggle.com/datasets

• Quandl: Financial, Economic and Alternative Data: https://www.quandl.com/

• Copa KDD - Arquivos da competição Data Mining e Knowledge Discovery: https://www.kdd.org/kdd-cup

• Data Driven Datasets onde a ciência de dados pode ser usada para criar um impacto social: https://www.drivendata.org/

• Dados sobre as cidades americanas: http://datasf.org

• Dados do Governo do Canadá (em inglês e francês): http://open.canada.ca

• Dados do Governo do Reino Unido: https://data.gov.uk

• Dados da União Europeia: http://open-data.europa.eu/en/data

• Dados do Censo dos EUA (dados da população americana e mundial): http://www.census.gov

• Kaggle Kernels: https://www.kaggle.com/docs/kernels?utm_medium=social&utm_source=linkedin.com&utm_campaign=kaggle-kernel-doc

• Datasets – Google AI: https://ai.google/tools/datasets/

• U.S. Government’s open data: https://www.data.gov/

• OECD - Organization for Economic Co-operation and Development: http://stats.oecd.org/Index.aspx

• Time Series Data Library: https://robjhyndman.com/TSDL/

• Macroeconomic Time Series: https://fgn.unisg.ch/eumacro/macrodata/macroeconomic-time-series.html

• NOAA - National Environmental Satellite. Data and Information Center: https://www.ngdc.noaa.gov/stp/stp.html

• Financial Data Finder: https://fisher.osu.edu/academic-departments/department-finance The Ohio State University

• Repository of time series data: http://www.stats.uwo.ca/faculty/aim/epubs/mhsets/ Criado por Hipel & McLeod

• NASA: https://data.giss.nasa.gov/

• U.S. Department of Labor (Bureau of Labor Statistics): https://www.bls.gov/data/

• ECONSTATS - Global Economic Data: http://www.econstats.com/

• The National Bureau of Economic Research: http://www.nber.org/data/

• Economagic.com: Economic Time Series Page: http://www.economagic.com/

• Time Series Modelling of Water Resources and Environmental Systems: http://www.stats.uwo.ca/faculty/aim/1994Book/default.htm Criado por Keith W. Hipel & A. Ian McLeod

• Dados do Banco Mundial: http://data.worldbank.org

• Dados sobre a saúde: http://www.healthdata.gov

• Dados públicos da Amazon: http://aws.amazon.com/datasets

• Dados sobre diversos países (incluindo o Brasil): http://knoema.com

• Dados sobre diversas áreas de negócio e finanças: https://www.quandl.com

• Google Trends: https://www.google.com/trends

• Google Finance: https://www.google.com/finance

• Gapminder: http://www.gapminder.org/data

• Dados sobre milhões de músicas: https://aws.amazon.com/datasets/million-song-dataset

• Dados sobre os mais diversos assuntos: http://www.freebase.com

• DBpedia: http://wiki.dbpedia.org/

• Open Data Monitor: http://opendatamonitor.eu

• Open Data Network: http://www.opendatanetwork.com

• R Datasets: http://www.stats4stem.org/data-sets.html

• R Dataset packages Datasets: http://www.statsci.org/datasets.html

• Portal de Estatística: http://www.sttista.com

• Data 360: http://www.data360.org

• Reconhecimento de Faces: http://www.face-rec.org/databases

• Stanford Large Network Dataset Collection: http://snap.stanford.edu/data

• Datahub: http://datahub.io/dataset

• nlp-datasets: https://github.com/niderhoff/nlp-datasets

• paperswithcode: https://www.paperswithcode.com/datasets

• Companies Invested in Shark Tank Brazil: https://www.kaggle.com/datasets/jhonatanslopes/companies-invested-in-shark-tank-brazil

Visão computacional:

• MiniPlaces: http://6.869.csail.mit.edu/fa17/miniplaces.html
• The car brands dataset: https://www.kaggle.com/datasets/yamaerenay/100-images-of-top-50-car-brands
• The Planet dataset: Understanding the Amazon: https://www.kaggle.com/competitions/planet-understanding-the-amazon-from-space/data
• Fruit datasets: https://muratkoklu.com/datasets/
• Santa or not dataset: https://www.kaggle.com/datasets/deepcontractor/is-that-santa-image-classification (code)