selcukfidan47's repositories
tensorflow
Computation using data flow graphs for scalable machine learning
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
swirl
:cyclone: Learn R, in R.
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
RTVS
R Tools for Visual Studio.
julia
The Julia Language: A fresh approach to technical computing.
bookdown
Authoring Books with R Markdown
datacollect
A collection of tools to collect and download various data.
DiagrammeR
Create graph diagrams and flowcharts using R.
tsugi
Multi-tenant PHP learning tool hosting platform
STAT545-UBC.github.io
Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
rails
Ruby on Rails
devtools
Tools to make an R developer's life easier
fb-sleep-stats
Use Facebook to track your friends’ sleeping habits
r-source
Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
testthat
An R package to make testing fun
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
tutorial
R Package to convert R Markdown files to DataCamp Light HTML files
datacamp
R package to create interactive courses for www.datacamp.com
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
regmodsbook
A companion book for the Coursera Regression Models class