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Using a Supervised Learning Model: Two-Class Boosted Decision Tree Algorithm for Income Prediction
(Polytechnic University of Puerto Rico, 2016)
People always try to think or ponder
about things in advance regarding the decisions
they make, whether if it is a good idea or even if it
is not a good idea. If the person has all the correct
and necessary information, ...
Resuminer – A Résumé Recommender System for Job Seekers using Cluster Analysis
(Polytechnic University of Puerto Rico, 2016)
Resumes or curriculum vitae are an
essential requirement for job seekers in any industry
and are usually the first interactions with third
parties that are actively hiring. For a single person,
there is an infinite ...
Trigger Files Text Analysis and Processing Time Anomaly Detection
(Polytechnic University of Puerto Rico, 2014)
Today the data processing is a vital
part of the system supporting organization
processes and transactions. A lot of data is
managed, transmitted and stored daily. The format
of the data is structured, unstructured or ...
Developing Interactive Learning Resources for Python and Machine Learning
(Polytechnic University of Puerto Rico, 2020)
This paper describes the process of
developing learning resources for students in
computing and offers various examples of the
learning resources that were successfully developed
as a result. Two main learning resources ...
Predicting the downfall of non-profit organizations using machine learning
(Polytechnic University of Puerto Rico, 2019)
Machine learning can be applied to
finances of non-profit organizations taken from IRS
Tax Forms 990ez to determine if an organization
will be dissolved. This is useful to determine if a
cause is viable. Data stored ...
Prescription Timeliness Prediction Using Machine Learning
(Polytechnic University of Puerto Rico, 2018)
Adherence is a very important aspect
for each patient enrolled in a Prescription Drug
Plan, a large gap between claim fills is an indicator
that they might be disrupting their therapy. This
could be due to unavailability, ...