Data Science group repository

Welcome to the Data Science group repository.

TODO

• Create regular Data science group events in Garoa website
• Move this repository to Garoa clube repository
• Include presentations in this repository

Next sessions activities

• 12/07 - Finalizar os exercícios e outras "pontas soltas"
• 19/07 - Apresentação do Gabriel Perez sobre o artigo do Rosenblatt
• 26/07 - Apresentação do Flavio Lichtenstein sobre a curva ROC
• 02/08 - Apresentação do Alex Sandro sobre mínimos quadrados.

About the Garoa DataScience Group

We are a group composed by students from the University of Sao Paulo from diverse area such as computer science, bioinformatics, atmospheric sciences; as well as profesional, datascientists, programers and machine learner enthusiast. The aim of this group is to build an effective working environement to improve our knowledge on data science (DS), machine learning (ML) and artificial inteligence(AI) by direct applications on real case problems. We mostly use Python and its modules for data analysis (pandas), statistics and machine learning (e.g. scipy and sklearn) and deep learning (Keras and TensorFlow). But we are happy to use other languages such as R. If you want to meet us and learn with us, come to the Garoa hacker clube or come , you will be welcomed!

repository structure:

• doc: a folder with documents and web ressources link about data science and other related domain of study
• projects: Contains the different projects :
  • project_name: folder project *data: A folder with the dataset of the different project
  • lib: folder with the projects python/scripts
  • res: folder which contains the results of the model (model itself)
  • doc: Documentation about the project
  • README.md: read me of the presentation of the project
• README.md: This read me :D
• presentations : Folder with the presentation made by the different menber of the group
• org : folder for the group organisation

Last meeting topics (see presentations folder):

• An overview of machine learning concepts
• Introduction to the sklearn module python
• Introduction to Neural Network and application of a toy example with Keras
• THE first meeting

Projects and Dataset:

• Kaggle projects
• serrenata do amor: (https://github.com/datasciencebr/serenata-de-amor)

Session format

• Aprofondar numa tecnica/ metodo/ sub-tecnica presentaçao (1h30/2)
  • format coding kata http://codingdojo.org/RandoriKata/
  • Trabalhando tudo mundo junto
• Essas tecnicas deveria servir pra resolver o problema kaggle

Contact us:

• Thomas Martin: martinthomas.2112 arobase gmail.com
• Garoa forum: https://groups.google.com/forum/#!topic/hackerspacesp/RzDikYlu9FI

Useful link:

Garoa website: https://garoa.net.br/wiki/P%C3%A1gina_principal