Pinned Repositories
AV-WNS-Analytics-Wizard-2019
WNS Analytics Wizard 2019 - War of Wizards organised by Analytics Vidya
AV_WNS
Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya
awesome-brazil-data
Curated list of Brazilian datasets for anyone interested in studying the country.
best_AI_papers_2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
blockchainbooks.github.io
Blockchain Books
catalogos-dados-brasil
Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.
competition_quickstart_dataloader
Quickstart jupyter notebook for Rocket competition
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
rdeggau's Repositories
rdeggau/AV-WNS-Analytics-Wizard-2019
WNS Analytics Wizard 2019 - War of Wizards organised by Analytics Vidya
rdeggau/AV_WNS
Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya
rdeggau/awesome-brazil-data
Curated list of Brazilian datasets for anyone interested in studying the country.
rdeggau/best_AI_papers_2021
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
rdeggau/best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
rdeggau/blockchainbooks.github.io
Blockchain Books
rdeggau/catalogos-dados-brasil
Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.
rdeggau/competition_quickstart_dataloader
Quickstart jupyter notebook for Rocket competition
rdeggau/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
rdeggau/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
rdeggau/cs-video-courses
List of Computer Science courses with video lectures.
rdeggau/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
rdeggau/Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
rdeggau/electionsBR
rdeggau/example-scripts
Example Machine Learning Scripts for Numerai's Tournament
rdeggau/learning-space
A space for learning and fun
rdeggau/MapYourCity
Starter notebook for AI4EO #MapYourCity challenge
rdeggau/meetups
Materials from CoE sponsored meetups
rdeggau/mlhub-tutorials
Tutorials to access Radiant MLHub Training Datasets
rdeggau/nlp_workshop_odsc_europe20
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
rdeggau/numerapi
Python API and command line interface for the numer.ai machine learning competition
rdeggau/numerox
Numerai tournament toolbox written in Python
rdeggau/PowerBI-DataScience
Repositório do Curso Microsoft Power BI Para Data Science
rdeggau/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
rdeggau/science4cast
Details for the Science4Cast competition
rdeggau/takeda-parameter-predict
rdeggau/ThreatExchange
Share threat information with vetted partners
rdeggau/udlbook
Understanding Deep Learning - Simon J.D. Prince
rdeggau/wns_analytics_wizard_2019
rdeggau/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow