szilard / GBM-introLinks
GBM intro talk (with R and Python code)
☆17Updated 4 years ago
Alternatives and similar repositories for GBM-intro
Users that are interested in GBM-intro are comparing it to the libraries listed below
Sorting:
- Workshop material for the Vancouver DataJam☆21Updated 4 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated 2 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- Material for the Explainable Machine Learning Workshop☆18Updated 6 years ago
- missCompare R package - intuitive missing data imputation framework☆39Updated 5 years ago
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- Extensions for the DALEX package☆68Updated 2 weeks ago
- Demo of a Reticulated Shiny App, using NREL's FASTSim model to compare vehicle MPGs for a user defined trip.☆61Updated 3 years ago
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020☆53Updated 4 years ago
- ☆22Updated 6 years ago
- Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…☆28Updated 5 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated 2 years ago
- Effects and Importances of Model Ingredients☆38Updated 2 years ago
- Machine learning pipelines for R.☆67Updated 9 years ago
- reference material for classical hypothesis tests☆75Updated 3 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated last month
- ☆38Updated 5 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- Creation of a Shiny app to measure the risk uncertainty with wedding guest invitations.☆26Updated 6 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- R package: funModeling: data cleaning, importance variable analysis and model perfomance☆100Updated 2 years ago
- 👩🏫👨🏫🍎 Compilation of free tutorials rstats-python☆25Updated 5 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 7 years ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- How to run Python ML models in R☆18Updated 4 years ago
- R Interface for GraphFrames☆37Updated 4 years ago
- Plumber ML Model deployment example☆44Updated 5 years ago
- Package: R Interface to AutoKeras☆73Updated 5 years ago