topepo / Optimization-Methods-for-Tuning-Predictive-Models
Code and slides from a 2016 talk at the Cambridge UK RUG
☆16Updated 8 years ago
Alternatives and similar repositories for Optimization-Methods-for-Tuning-Predictive-Models:
Users that are interested in Optimization-Methods-for-Tuning-Predictive-Models are comparing it to the libraries listed below
- ☆22Updated 5 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- R package for weighted model metrics☆11Updated 3 weeks ago
- Explanations for survival models☆15Updated 2 years ago
- recommendations for creating R modeling packages☆41Updated 3 years ago
- Tutorial on Bayesian optimization in R☆15Updated 3 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Combining drake workflows with R package development to train and execute a machine learning model☆14Updated 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…☆24Updated 4 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- Honest calibration assessment for binary outcome predictions☆11Updated 2 years ago
- Materials for the Designing the Data Science Classroom workshop at rstudio::conf 2020☆30Updated 5 years ago
- Materials for the Teaching Data Science workshop at JSM 2019☆21Updated 5 years ago
- Bayesian Inference of Complex Panel Data☆29Updated last month
- Structure mining for xgboost model☆26Updated 4 years ago
- Demonstration of alternatives to lme4☆13Updated 5 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- A list of "good practices" for creating a good environment for conference speakers. Based on my own experience as a speaker but prepared …☆29Updated 6 years ago
- Materials for the 2020 NYR Machine Learning workshop☆21Updated 4 years ago
- Machine learning in R that doesn’t suck☆50Updated 7 years ago
- Time Series Forecasting Using KNN☆11Updated last year
- Model verification, validation, and error analysis☆58Updated last year
- Fast generalised linear models by sampling and one-step polishing☆20Updated 6 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 6 years ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- Ensemble forecasts with fable for NYCR conference☆16Updated 4 years ago
- Comprehensive Cross-Validation Engine☆27Updated 2 years ago
- Rapid Calculation of Model Metrics☆30Updated 3 years ago