Best links of the week #13

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Best links of the week from 1st April to 7th April


  1. Feature Engineering presentation by HJ van Veen (Nubank Brasil).
  2. Winning Data Science Competitions presentation by Owen Zhang (Data Robot).
  3. Tips and tricks to win kaggle data science competitions by raddar.
  4. 2019 Best Data Science Bootcamps.
  5. Free open public domain football data (football.db) for Brazil here and here.
  6. A weekly email of useful links for people interested in building data platforms.
  7. Top GAN Research Papers Every Machine Learning Enthusiast Must Peruse at Analytics India Magazine.


  1. An overview of feature selection strategies at Burakhimmetoglu.
  2. Feature Engineering with Tidyverse at Burakhimmetoglu.
  3. An example of web scraping with R: Online Food Blogs at Burakhimmetoglu.
  4. Why Automated Feature Engineering Will Change the Way You Do Machine Learning by Will Koehrsen at Towards Data Science.
  5. 7 Things You Need To Stop Doing To Be More Productive, Backed By Science at CamMi Pham‘s Medium.
  6. How not to use random forest by Toma Gulea at Turo Engineering Medium.
  7. Winners of the 1st Shiny Contest at RStudio Blog.
  8. Como colorir imagens em preto e branco com Pyhton e Deep Learning at Mundo IA.


  1. O que é Data Science? A tal Ciência de Dados at Alura Cursos Online YouTube Channel. Very good basic introduction, though we [should] know that causation can occur without correlation, really, so I’m bit resistant to the mention of “correlation is a good sign of causation”, as said by the person interviewed in the video.
  2. Active (Machine) Learning at Computerphile YouTube Channel.

Scientific Articles

  1. Using Effect Size—or Why the P Value Is Not Enough at Journal of Graduate Medical Education.
  2. It’s the Effect Size, Stupid: What effect size is and why it is important, presented at the Annual Conference of the British Educational Research Association, University of Exeter, England, 12-14 September 2002.
  3. Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China at The Lancet.

Positions available

  1. Software Engineer – Apple Media Products Data Engineering.
  2. Cientista de Dados na hotmart.
  3. Consultor Power BI / Analysis Services.
  4. Business Analyst (Analista de Negócios) na Contabilizei.
  5. Engenheiro de Dados no Guia Bolso.
  6. Cientista de Dados no Guia Bolso.
  7. Senior Data Scientist na Contabilizei.
  8. Analista Sr – Mídias Sociais.
  9. Gerente de BI na OLX.
  10. Analista SQL Junior na RADAR Profissional.
  11. Engenheiro(a) de Dados na
  12. Legal Data Engineer/Lawyer na Digesto.
  13. Analista DevOps/SRE na Data Sprints.
  14. Cientista de Dados na Hoobox.
  15. Several opportunities at Wavy.

Data Science focused and commented version in Portuguese here.