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From classification trees to random forests
"Random Forests" are used everywhere, and for good reason! Random Forest is a powerful and versatile machine learning algorithm that grows and combines multiple decision trees to create a "forest". It sounds very complex, but learning to use them is very intuitive, especially if you got a USNW codeRs workshop to help you. JR will give a beginner-friendly introduction to Random Forests applied to classification problems. Check workshop material at: https://unsw-coders.netlify.app/workshops/2021-07-30-randomforest/
week 4- Data Dive — Sampling and Drawing Conclusions
It has the monte carlo simulation.
Binary Classification in R
DAT301 HW3
