Marco's repositories
awesome-courses
List of awesome university courses for learning Computer Science!
awesome-datascience
An awesome Data Science repository to learn and apply for real world problems.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-R
A curated list of awesome R frameworks, packages and software.
DAT3
General Assembly's Data Science course in Washington, DC
DAT8
General Assembly's Data Science course in Washington, DC
Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
data.table
R's data.table package extends data.frame. More info:
DataSciencePython
common data analysis and machine learning tasks using python
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
deepwater
Deep Learning in H2O using Native GPU Backends
GithubDemo
GitHubDemo for Meetup Hackathon
go
The Open Source Data Science Masters
haven
Read SPSS, Stata and SAS files from R
htmlwidgets
HTML Widgets for R
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
jsonlite
A Robust, High Performance JSON Parser and Generator for R
LearnDataScience
Open Content for self-directed learning in data science
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
readr
Read flat files (csv, tsv, fwf) into R
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
sparkline
jQuery Sparkline HTML Widget for R
SQLServer
SQL Server Tools
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.