Faster, better, smarter ecological niche modeling and species distribution modeling

mlim: single and multiple imputation with automated machine learning

🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲

🌳 Stacked Gradient Boosting Machines

Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI based Convolutional Neural Network Model

HIV-1 Envelope Sequence Resistance Predictor to 33 Broadly Neutralizing Antibodies

One Data Set with multiple Algorithms

The Effect of the Linux Kernel Page-Table Isolation (KPTI) Patch (Meltdown Vulnerability) on GBMs

Auto Machine Learning in R

Modelling Experts Behaviour in Q&A Communities to Predict Worthy Discussion

In this project, exploratory data analysis was used to identify reasons why employees leave and machine learning methods were used predict employee attrition

Building binary predictors on a heavily imbalanced dataset - exercise on policy cross-selling [kaggle]

This project about the GBM classification model on spam email data set and model optimisation.

Single-cell multi-omic profiling of glioblastoma-associated myeloid cells

Detect Credit Card Fraud with Machine Learning in R

Une expérimentation autour d'un petit jeu de données de Churn bancaire

Decompose gbm predictions into feature contributions