常用学习网站
R-blogger https://www.r-bloggers.com/
Python-bloggers https://python-bloggers.com/
统计分析方法
* R语言统计方法大全 http://dwoll.de/rexrepos/posts/survivalKM.html
* Glm 计算 crude OR(95%CI) 与adj. OR(95%CI)
* 生存分析 Survival Analysis with R http://www.drizopoulos.com/courses/emc/ep03_%20survival%20analysis%20in%20r%20companion
* An Introduction to R： https://intro2r.com/
绘图可视化
* python可视化 https://python-graph-gallery.com/
* R 可视化https://www.r-graph-gallery.com/
* Get hired fast with the best CV Builder
Python数据科学
* Pandas 基础 https://pandas.pydata.org/pandas-docs/stable/getting_started/index.html
背景图素材
* 艺术长廊 https://rgallery.art/
* Pexel图库 https://www.pexels.com/
* Macbook 预览插件 http://www.quicklookplugins.com/
系统程序设置
* vscode code-runner配置python虚拟环境解释器：
数据库
* 全球环境污染物数据下载
https://stats.oecd.org/index.aspx?queryid=72722
* 全球疾病负担-GBD
http://ghdx.healthdata.org/gbd-results-tool
* TCGA数据
https://cancergenome.nih.gov/
* 世界人口数据
https://www.worldometers.info/world-population/population-by-country/
* SEER
https://seer.cancer.gov/data/
书籍
基础篇
* Bookdown 谢益辉 https://bookdown.org/yihui/bookdown/rstudio-connect.html
* Happy Git and GitHub for the useR https://happygitwithr.com/index.html
* A Bayesian Course with Examples in R and Stan https://xcelab.net/rm/statistical-rethinking/
* ggplot2: Elegant Graphics for Data Analysis https://ggplot2-book.org/
* R双核心运行 ：https://edrub.in/ARE212/section05.html
* 基础统计分析 A ModernDive into R and the Tidyverse: https://moderndive.com/index.html
* R Package Showcase http://uribo.github.io/rpkg_showcase/index.html
* R 连续性数值转为分类变量 getBreaks https://www.rdocumentation.org/packages/cartography/versions/2.4.2/topics/getBreaks
* R ggplot调色板 https://www.dataembassy.co.nz/Liza-colours-in-R#1
* R packages https://neerajdhanraj.medium.com/easy-steps-to-develop-and-publish-your-first-r-package-e5f1a5c5f04c
* R 字符串提取：str_extract {stringr}
* R 经济学 https://bookdown.org/kochiuyu/Technical-Analysis-with-R/technical-indicators.html
机器学习篇
* Hands-On Machine Learning with R https://bradleyboehmke.github.io/HOML/
* Introduction to Data Science https://rafalab.github.io/dsbook/
* Learning to Teach Machines to Learn https://alison.rbind.io/post/2019-12-23-learning-to-teach-machines-to-learn/
* Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/
* Explanatory Model Analysis https://pbiecek.github.io/ema/
* The caret Package Max Kuhn https://topepo.github.io/caret/index.htm
* 机器学习参数调节#Machine Learning Toolbox
* Dealing with imbalanced dataset https://www.kaggle.com/rowang/smote-for-imbalanced-dataset-notebook-r-caret
* 模型评估各种指标：MODEL EVALUATION IN R https://www.datavedas.com/model-evaluation-in-r/
* 可解释的机器学习 Explanatory Model Analysis： https://pbiecek.github.io/ema/
* mlr3 book: https://mlr3book.mlr-org.com/
* BASIC XAI with DALEX https://medium.com/responsibleml/basic-xai-with-dalex-part-5-shapley-values-85ceb4b58c99
空间地理篇
* R 空间分析 https://mgimond.github.io/Spatial/coordinate-systems-in-r.html
* INLA ： https://www.r-inla.org/download-install
* Spatial Data Science with RRaster https://rspatial.org/raster/index.html
* Remote Sensing Image Analysis with R-- 【Aniruddah Ghosh and Robert J. HijmansAug 13, 2019-pdf】
* Bayesian inference with INLA https://becarioprecario.bitbucket.io/inla-gitbook/index.html
* Predictive Soil Mapping with R https://soilmapper.org/
* 地图绘制 https://ggplot2-book.org/maps.html
* Geocomputation with R https://geocompr.robinlovelace.net/
* https://www.r-inla.org/download-install
深度学习
* https://imageai-cn.readthedocs.io/zh_CN/latest/ImageAI.html#id2
* https://github.com/fchollet/deep-learning-with-python-notebooks
* https://github.com/topics/image-recognition
生存分析
* https://thomaselove.github.io/432-notes/cox-regression-models-for-survival-data-example-2.html
持续更新。。。
