Partial dependency plots in R for xgboost, lightGBM and ranger objects
Statistics for this project are still being loaded, please check back later.
Random forest estimator
a curated list of R tutorials for Data Science, NLP and Machine Learning
A general framework for constructing partial dependence (i.e., marginal effect) plots from variou...
Kaggle Bosch Production Line Performance, NO.74/top 6% (post competition analysis) 生產線分析、前 6 % ( ...
Machine learning explanations
Build and Tune Several Models
Visualisation toolbox for beautiful and publication-ready figures
An R package with Python support for multi-step-ahead forecasting with machine learning and deep ...
Estimate effects, contrasts and means based on statistical models
Feature Selection Simulation Files
Kaggle Grupo Bimbo Inventory Demand, NO.156/top 8% (post competition analysis) 庫存需求預測、前 8 % ( 賽後分析 )
Light weight R package to do fast data splitting for cross-validation or train/valid/test splits
Notes and code for the workshop "Rule-Based Models for Regression and Classification”
Clustering and Predictions with Multi-Task Gaussian Processes
Statistical inference of genetic functions in phylogenetic trees