Pinned Repositories
36-methods-for-data-analysis
AmsterdamUMCdb
AmsterdamUMCdb - Freely Accessible ICU database
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
dataviz_mpidr
Data visualization course at MPIDR
eicu-code
Code and website related to the eICU Collaborative Research Database
ggplot2-book
ggplot2: elegant graphics for data analysis
HiRID_v1
How-to-plot-in-R
Tutorial: R语言绘制常见科研图表
R_medical_stat
R语言实战医学统计
rf_gastro
Zheng7AI310's Repositories
Zheng7AI310/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Zheng7AI310/machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Zheng7AI310/oxygenation_kc
Repo for Oxygenation project proposed by KC at Datathon
Zheng7AI310/echo-mimiciii
Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database
Zheng7AI310/sepsis3-mimic
Evaluation of the Sepsis-3 guidelines in MIMIC-III
Zheng7AI310/Tutorial
Blog Posts Repo
Zheng7AI310/MSG-Book
现代统计图形 Modern Statistical Graphics
Zheng7AI310/causal_playground
Zheng7AI310/Obesity-project
Description of the obesity project done with MIMIC-III database on March 2017.
Zheng7AI310/R_oop
:art: R语言面向对象编程教程 https://dataxujing.github.io/R_oop/
Zheng7AI310/data.table
R's data.table package extends data.frame:
Zheng7AI310/create_ap
This script creates a NATed or Bridged WiFi Access Point.
Zheng7AI310/mechanical-power
Study on mechanical power in MIMIC-III and eICU-CRD
Zheng7AI310/my_blog
在 Issues 中建立的个人博客
Zheng7AI310/Doing-Meta-Analysis-in-R
All R codes for the guide "Doing Meta-Analysis in R"
Zheng7AI310/CreditCard
一套基于 R 并采用“tomasgreif/riv”包的 快速构建scorecard 的代码
Zheng7AI310/NHANES-R-Programming
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Zheng7AI310/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
Zheng7AI310/SOI_perfomance_BMI
Comparison od model discrimination between obese and non obese on eICU-CRD
Zheng7AI310/py4ds_2nd_zh
《利用Python进行数据分析·第2版》
Zheng7AI310/GEO
A2Z DEG and enrichment analysis tutorial on GEO database microarray datasets GSE42872 Affymetrix Human Gene 1.0 ST Array and GSE11121 from Affymetrix Human Genome U133A Array, as well as DEG analysis on RNA-Seq count data
Zheng7AI310/Python-Tutorial-Vamei
A Quick Tutorial of Python
Zheng7AI310/pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Zheng7AI310/mortality-prediction
Real time mortality prediction in the MIMIC-III database
Zheng7AI310/reproducibility-mimic
Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database
Zheng7AI310/rime-dict
RIME输入法 增强词库
Zheng7AI310/r4ds-exercise-solutions
Notes and exercise work for "R for Data Science"
Zheng7AI310/sepsis
Zheng7AI310/cmake-demo
《CMake入门实战》源码
Zheng7AI310/Webinar_ML_for_disease
Presentation slides and code for webinar: Building meaningful machine learning models for disease prediction