{"id":15651294,"url":"https://github.com/tirthajyoti/r-stats-machine-learning","last_synced_at":"2025-04-30T17:11:37.298Z","repository":{"id":118614905,"uuid":"147057223","full_name":"tirthajyoti/R-stats-machine-learning","owner":"tirthajyoti","description":"Misc Statistics and Machine Learning codes in 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Please feel free to [add me here on LinkedIn](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/) if you are interested in data science and like to connect.\n\n# Statistics and Machine Learning R scripts \nMisc Machine Learning and statistical analysis code examples in R\n\n## Packages used/demonstrated\n* [caret](caret.r-forge.r-project.org)\n* [rattle](https://cran.r-project.org/web/packages/rattle/vignettes/rattle.pdf)\n* [randomForest](https://cran.r-project.org/web/packages/randomForest/randomForest.pdf)\n* [rpart](https://cran.r-project.org/web/packages/rpart/rpart.pdf)\n* [dplyr](https://cran.r-project.org/web/packages/dplyr/dplyr.pdf)\n* [ggplot2](https://cran.r-project.org/package=ggplot2/ggplot2.pdf)\n* [corrplot](https://cran.r-project.org/web/packages/corrplot/vignettes/corrplot-intro.html)\n* [factoextra](http://www.sthda.com/english/wiki/factoextra-r-package-easy-multivariate-data-analyses-and-elegant-visualization)\n* [glmnet](https://cran.r-project.org/web/packages/glmnet/glmnet.pdf)\n* [MASS](https://cran.r-project.org/web/packages/MASS/MASS.pdf)\n* [mgcv](https://cran.r-project.org/web/packages/mgcv/index.html)\n* ... and some more...\n\n## Supervised learning (Regression and Classification)\n* Linear regression\n* Poisson regression\n\u003cimg src=\"https://slideplayer.com/slide/6053182/20/images/10/Simple+Linear+Regression+Model.jpg\" width=\"400\" height=\"300\"/\u003e\n* Stepwise selection method \n* LASSO, Ridge, and Elastic Net regularization methods\n\u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/f/f8/L1_and_L2_balls.svg/300px-L1_and_L2_balls.svg.png\"/\u003e\n* Residual analysis\n* Spline regression\n\u003cimg src=\"https://i.stack.imgur.com/q34Vc.png\"/\u003e\n* Logistic regression\n\u003cimg src=\"https://qph.fs.quoracdn.net/main-qimg-914b29e777e78b44b67246b66a4d6d71\"/\u003e\n* Support vector machine\n\u003cimg src=\"https://docs.opencv.org/2.4/_images/optimal-hyperplane.png\"/\u003e\n* k-Nearest Neighbor\n* Decision Tree\n* Random Forest\n\u003cimg src=\"https://cdn-images-1.medium.com/max/592/1*i0o8mjFfCn-uD79-F1Cqkw.png\" width=\"400\" height=\"300\"/\u003e\n* Feedforward neural network\n\n## Unsupervised learning\n* k-means Clustering\n\u003cimg src=\"https://i.ytimg.com/vi/IJt62uaZR-M/maxresdefault.jpg\" width=\"450\" height=\"300\"/\u003e\n* Principal Component Analysis (PCA)\n\u003cimg src=\"https://i.ytimg.com/vi/QP43Iy-QQWY/maxresdefault.jpg\" width=\"450\" height=\"300\"/\u003e\n\n## Statistics/Data wrangling\n* Missing data imputation\n* Demo of Central Limit Theorem'\n* Outlier detection using Grubb's test\n* **Cu**mulative **Sum** (CUSUM) for change detection\n* Demo of Hypothesis shopping (*why you should be suspicious of p-Values*)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirthajyoti%2Fr-stats-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftirthajyoti%2Fr-stats-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirthajyoti%2Fr-stats-machine-learning/lists"}