常用学习网站汇总

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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。。。