This is the repository for D-Lab’s Introduction to Machine Learning in R workshop. View the associated slides here. The seven algorithm R Markdown files (lasso, decision tree, random forest, xgboost, ...

This study compares the effectiveness of Machine Learning algorithms, specifically K-Nearest Neighbor (KNN) and Random Forest, in predicting exercise poses. The dataset used consists of a total of ...

A machine learning algorithm trained to carry out unsupervised learning tasks must be able to infer the ... A Random Forest algorithm is essentially many single Decision Tree classifiers linked ...

Another kind of deep learning algorithm—not a deep neural network—is the Random Forest, or Random Decision Forest. A Random Forest is constructed from many layers, but instead of neurons it is ...

The phenomenon of chip bifurcation catastrophe that greatly reduces the cutting force when cutting with a linear double-edged turning tool has important utilization value in energy saving and emission ...