The initial analysis of LINEAR data using supervised classification methods.

Bayes Classifier for Verbal Autopsy Data

Machine Learning Algorithms

I used the Eclat associative rule machine learning algorithm in R

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

A makeshift webserver exposing a prediction endpoint, written in R.

This repository consists of projects that i made while studying machine learning with the language R. Most of this projects are based and adapted from the course "The analytics edge" from the MIT.

Data Science Specialization Course

Statistical Machine Learning for High dimensional Data Summer Workshop

We need to club or group the state which are similar to each other in terms of crime

The objective of this small project is to implement machine learning algorithms to predict future Pokemon battles!

My thesis work. Data processing on Google Drive. Here are only scripts and key findings.

This is my machine learning model that I made in R. It is a repository of just the code and models created for my personal interest project

Simulated data and experiments for the use of machine learning in outbreak parameter (CFR) estimation.

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

Machine Learning Algorithms for Innovation in Tourism