Software development process data analysis: Requesting (anonymized/aggregate) data from a filled MonetDB database and processing for analysis, prediction and visualization
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Updated
Jul 26, 2024 - R
Software development process data analysis: Requesting (anonymized/aggregate) data from a filled MonetDB database and processing for analysis, prediction and visualization
pattern detection in R using the stringR package for the pacbio and the oxford nanopore reads
This work intends to identify, through Principal Component Analysis and Data Clustering Analysis, the profiles of Brazilian municipalities in order to stimulate the debate on the priorities of government actions that emphasize the role of redistributive policies in the light of the distinctive aspects of Brazilian society.
A network-based model for spatiotemporal data analysis
Lab exercises and quizzes for Pattern Recognition course, Auth winter semester 20-21
Using R to find any insightful pattern from the tracker data
Εxercises for Pattern Recognition course in Faculty of Engineering of Aristotle's University of Thessaloniki
Code examples for the book Behavior Analysis with Machine Learning and R
Clustering helps to understand patterns and groups of similarities, and we will use this method to accomplish determining a good radar.
Extended Complexity Library in R
Repository for the pattern recognition course at UFMG.
Repository for Udemy Course: Identify problems with Artificial Intelligence
R package for technical-analysis feature extraction - See package vignette for more details
Simulated Complexity Library in R
Find interesting patterns with unsupervised learning on Census-Dataset
MVLS v1.1 is a function for R software to impute missing values in longitudinal dataset. R package.
(OLD VERSION - 1.0) - MVLS v1.0 is a function for R software to impute missing values in longitudinal dataset. R package.
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