topepo / FESLinks
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
☆745Updated 2 years ago
Alternatives and similar repositories for FES
Users that are interested in FES are comparing it to the libraries listed below
Sorting:
- iml: interpretable machine learning R package☆502Updated 8 months ago
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)☆489Updated 3 years ago
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆690Updated 2 years ago
- An R package that makes xgboost models fully interpretable☆258Updated 7 years ago
- Time series analysis in the `tidyverse`☆632Updated 2 months ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆264Updated 7 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆197Updated 8 years ago
- Tidy anomaly detection☆339Updated last year
- Tools for time series analysis and forecasting☆427Updated last year
- Automate Data Exploration and Treatment☆535Updated 3 months ago
- A central repository of Business Science presentations☆169Updated 5 years ago
- 📍 Interactive Studio for Explanatory Model Analysis☆333Updated 2 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆196Updated last year
- Feature Extraction And Statistics for Time Series☆306Updated 2 months ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆400Updated 7 years ago
- Tidy time series forecasting☆577Updated 2 months ago
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse☆795Updated last week
- Materials for rstudio::conf☆745Updated last week
- Modeltime unlocks time series forecast models and machine learning in one framework☆566Updated 2 months ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 5 months ago
- Tutorials for the dplyr package in R☆164Updated 7 years ago
- recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package☆217Updated 5 months ago
- Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language☆174Updated 3 months ago
- ☆135Updated last year
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated 3 weeks ago
- Regression and other stories R examples☆346Updated 6 months ago
- Scorecard Development in R, 评分卡☆167Updated 2 months ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated last year
- Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.☆233Updated 3 years ago
- ggplot2 tech themes, scales, and geoms☆397Updated 6 years ago