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Set of examples, exercises and quizzes for DAT209x - Programming in R for Data Science course in edx
Churn Analysis for Telecom data
R for data science
A toolkit for the calculation of radiomics features in R.
A python implementation of the Radiomics approach by Aerts et al (http://www.nature.com/articles/ncomms5006)
一个得到肺结节数据的小工具
Radiomics for radiation oncology
radiomics feature extraction for the LUNA LIDC-IDRI dataset
A data-driven feature selection method using symbolic genetic programming.
Radiomics analysis using machine learning methods
Radiomics Ontology for quantitative imaging
Radiomics Ontology and IBSI radiomics standard reporting
RankDeepSurv is a survival analysis method. This approach models multivariate for the prognosis of disease.
R code for the Kaggle Heritage Health Prize
A platform of detailed R programming codes for Data Analytics
Lasagne recipes: examples, IPython notebooks, ...
The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
dataset and code for 2016 paper "Learning a Driving Simulator"
Quantitative Trading with R
Not an actual tutorial, but a topical set of resources. The goal: learn Python, from absolute beginner to advanced!
:exclamation: This is a read-only mirror of the CRAN R package repository. RSiena — Siena - Simulation Investigation for Empirical Network Analysis. Homepage: http://www.stats.ox.ac.uk/~snijders/siena
Repository of all the codes using during the initial phase of RUSMALAI journal club in NCBS.
Materials for the satRday tutorial on data cleaning
Lectures on scientific computing with python, as IPython notebooks.
Project of research about financial investment technics with scoring and Markowitz optimisation
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.