📍 Interactive Studio for Explanatory Model Analysis

Landmap package for R

tidytrees: a package for a tidy representation of decision trees.

Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)

Implementation of Polynomial Regression Model using both Python and R

Hand crafted & certified organic machine learning

CU Machine Learning course final project

Include source code for paper titled "Toward Large Scale Riverine Phosphorus Estimation Using Remote Sensing and Machine Learning".

A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers

R scripts to iteratively generate Hidden Markov Models interactively (IIHMM) and automatically (AIHMM).

Linear Regression, Logistic Regression, Sentiment Analysis, Decision trees, clustering, visualization. Created by: Justin Nuñez

TAD Calling using spectral clustering in R

Source code of a comprehensive study about body fat prediction

Applying XGBOOST to produce a reliable and quick model

Machine Learning Algorithms for Innovation in Tourism

The initial analysis of LINEAR data using supervised classification methods.

Bayes Classifier for Verbal Autopsy Data

Applied the Random Forest model in my Regressor model both in Python and R

Machine Learning Algorithms

I used the Eclat associative rule machine learning algorithm in R