Predicts if a driver is fit to drive or not. Performance of Logistic Regression, Naive Bayes, and Random Forests using Scikit-Learn is compared.

Supervised Machine Learning using SciKit and other tools to do PCA, SVM, random forests, etc. for facial recognition and predictive decision making.

Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

This repo contains material for a workshop on Random Forests in phonetics/phonology research

RFA package for implementing random forest adjustment.

Data Science - Case Study with Classification Application in Python Using scikit-learn

Price Prediction using Random Forests

Random Forest Classifier

Used Supervised Classification Predictive Machine Learning models such as Decision Trees, KNN, Logistic Regression, Random Forests, and SVM

A 20m presentation showing the concepts behind oblique random survival forest and some of its recent applications.

Material for the Computational Statistics Project | Summer 2022 | University of Bonn

Poetry Identification Code from my dissertation runs on zip files containing DJVUXML from the Internet Archive.

Supervised learning and unsupervised in R, with a focus on regression and classification methods.

Decision_Trees_and_Random_Forests

Fast explication of different models based in trees

Handwritten Digit Recognition with Random Forests algorithm

This was a binary classification task in which I had to determine if and article got at least 1400 shares. I wanted to use few different machine learning algorithms to compare their accuracy on that data. I chose to use: Decision Tree, Random Forests and Multi Layer Perceptron.

Portfolio of machine learning projects

Use regression trees and random forests to find places where New York taxi drivers earn the most.