A handbook exemplifying Data Mining concepts in effortless code snippets.

CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins

Matlab scripts for analyzing calcium imaging data presented in "Neural Coding of Leg Proprioception in Drosophila" (Mamiya, Gurung, and Tuthill (2018) Neuron: DOI:https://doi.org/10.1016/j.neuron.2018.09.009)

Julia package for Lewandowski Kurowicka and Joe (LKJ) probability distribution on the space of correlation matrices.

this projet is a homemade projet to explore posibilities of machine learning for forcasting issues

Repositório para os trabalhos práticos da disciplina de Processamento Digital de Imagens 2019.2 UFPI

Create beautiful tiles of scatterplots between variables in MATLAB

Code for calculating correlations between clade indicators.

Creating customer segments using unsupervised learning algorithms

A Whale Off the Port(folio): DIY portfolio to compare with performances of whale portfolios based on rolling moving averages and standard deviations. Correlation heatmaps are generated for visually assessing co-movements on returns.

A set of scripts for visual and quantitative checks of data based on spatio-temporal correlation structure in fMRI data

The goal of this research is to better understand the relationships between cryptocurrencies and stock indexes, including how cryptocurrencies are interconnected. Preliminary visualization revealed a trend of market movement across all cryptocurrencies, indicating a substantial correlation. Initial analysis focusses on finding the correlation be…

Looking at the probability of being accepted in a graduate program using a machine learning model

The below analysis is for the estimation of relative performance values using multiple ML models. See their article (pp 308-313) for more details on how the relative performance values were set.

Price prediction model

Baseball repository for my original research

Aircraft Engine Run-to-Failure Simulation

Load monitoring/ load detection is one big breakthrough in tackling the problem of increasing carbon footprint. It helps to provide detailed electricity consumption information in residential households. This project is dedicated to providing a perfect estimate of the usage of the most common appliances in residential buildings.

Instant Polychoric and Polyserial Correlation