jamesjin63 Goto Github PK

aml_analysis

Hierarchical Dirichlet Process for clustering 2500 Patients based on their molecular profile (genes + cytos). Machine Learning for Survival Analysis (DeepSurv , RSF , SVM Regressor, Cox Models , ...) and integration of HDP components into modelling for prognosis. Comparison of state of the art models and evaluation of molecular contributors for cumulative incidence , relapse free survival , survival after first CR and overall survival

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bayes-r-jags-intro

An introduction to hierarchical Bayesian modelling with R, JAGS and STAN

books

Free Ebooks

cachematrix-of-r-programming

R Programming Assignment2

carbon-monoxide-poisoning-case

just a test for push

china_full_map

Access the Full map of China, with Jiuduan Line of South China Sea（九段线）

chinamapjsondata

about china map json data，各个省市县的json数据都在里面，最外面的datas.json是全国的

click_that_hood

A game where users must identify a city's neighborhoods as fast as possible

clinic_data_description

Data explorations within clinical research

covid-19-data-science

daizhigev20

殆知阁古代文献

dalex_docs

Descriptive mAchine Learning EXplanations

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)

data-science-live-book

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

dataexploration

Supporting code for a video series on best practices for exploratory data analysis.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

demo-bookdown

Test for Gitbook

ebird-best-practices

Working through using auk, EBD, and habitat covariates based on ebook from https://cornelllabofornithology.github.io/ebird-best-practices/

epicogs

A sandbox environment for visualization of Public Health data

eseur-code-data

Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

expandar

R Package for Interactive Panel Data Exploration

geocompr

Open source book: Geocomputation with R

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

inla

Automatically exported from code.google.com/p/inla

interpretable-machine-learning-in-ckd

This paper presents a machine learning study for predicting chronic kidney disease (CKD) progression risk using clinical data

jamesjin63.github.io

Hugo

leaflet