The most recent version of the Applied Machine Learning notes
☆101Mar 30, 2023Updated 2 years ago
Alternatives and similar repositories for aml-training
Users that are interested in aml-training are comparing it to the libraries listed below
Sorting:
- Model Wrappers for Projection Methods☆14Feb 10, 2026Updated 3 weeks ago
- Tools for creating tuning parameter values☆116Updated this week
- Quantify extrapolation of new samples given a training set☆47Updated this week
- Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.☆236Jun 23, 2022Updated 3 years ago
- tidymodels code for Applied Predictive Modeling☆38Mar 16, 2021Updated 4 years ago
- Slides and code for the "Modeling in the Tidyverse" short course on Wednesday, May 29 2019 at SDSS (Symposium on Data Science and Statist…☆24Jun 18, 2020Updated 5 years ago
- Dimension reduction for outlier detection☆13Aug 25, 2022Updated 3 years ago
- Extra recipes steps for dealing with unbalanced data☆142Jan 24, 2026Updated last month
- R package of untidy datasets made for the purpose of teaching the tidyverse☆46Jan 26, 2023Updated 3 years ago
- Reduce the size of model objects saved to disk☆137Dec 9, 2025Updated 2 months ago
- parsnip Model Functions for Bagging☆28Nov 14, 2025Updated 3 months ago
- broom helpers for decision tree methods (rpart, randomForest, and more!)☆29Apr 30, 2025Updated 10 months ago
- Construct Modeling Packages☆108Nov 23, 2025Updated 3 months ago
- Classes and functions to create and summarize resampling objects☆340Jan 30, 2026Updated last month
- R package for random forests model selection, inference, evaluation and validation☆28May 27, 2025Updated 9 months ago
- Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package☆31Dec 3, 2025Updated 2 months ago
- Combining drake workflows with R package development to train and execute a machine learning model☆14Jun 21, 2020Updated 5 years ago
- recommendations for creating R modeling packages☆41Oct 28, 2021Updated 4 years ago
- Extra recipes for predictor embeddings☆144Jan 29, 2026Updated last month
- Boilerplate Code for tidymodels☆86Nov 14, 2025Updated 3 months ago
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Apr 29, 2022Updated 3 years ago
- Tools for post-processing class probability estimates☆120Nov 14, 2025Updated 3 months ago
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆613Jan 5, 2026Updated last month
- Extra recipes for Text Processing☆164Sep 19, 2025Updated 5 months ago
- Version, share, and deploy tidymodels workflows☆22Nov 16, 2021Updated 4 years ago
- Rstudio addin for version control and assignment management using git☆18Apr 7, 2025Updated 10 months ago
- ☆193Dec 17, 2020Updated 5 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆44Dec 17, 2025Updated 2 months ago
- R Package 📦 for initializing projects for various R activities☆123Jun 18, 2020Updated 5 years ago
- a greta extension for generalised additive modelling using mgcv☆11Jan 14, 2025Updated last year
- RStudio Cloud ☁️ resources to accompany tidymodels.org☆12Oct 28, 2021Updated 4 years ago
- Course site for Methods of Statistics☆10Dec 4, 2017Updated 8 years ago
- tools to assist in the formatting of numbers and plots for publication☆52Oct 8, 2021Updated 4 years ago
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson☆751Nov 9, 2023Updated 2 years ago
- Bayesian comparisons of models using resampled statistics☆102Jul 31, 2025Updated 7 months ago
- Tidy methods for measuring model performance☆398Feb 12, 2026Updated 2 weeks ago
- Create a collection of modeling workflows☆96Nov 14, 2025Updated 3 months ago
- 👷♂️ A simple package for extracting useful features from character objects 👷♀️☆166Oct 12, 2020Updated 5 years ago
- Dimensional modeling done the tidy way!☆46Dec 18, 2021Updated 4 years ago