capstone/CITATION.cff at main · rcghpge/capstone · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
cff-version: 1.2.0
title: Capstone Project
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software

authors:
  - given-names: Alex
    family-names: Nguyen
    affiliation: The University of Texas at Arlington
    email: alex.nguyen2@mavs.uta.edu
  - given-names: Landon
    family-names: Nguyen
    affiliation: The University of Texas at Arlington
    email: lmn4121@mavs.uta.edu
  - given-names: Robert
    family-names: Cocker
    affiliation: The University of Texas at Arlington
    email: robert.cocker@mavs.uta.edu

repository-code: https://github.com/rcghpge.com/capstone
url: https://www.uta.edu/academics/schools-colleges/science/departments/division-data-science

abstract: >-
  Machine learning utilizing key health indicators for health analytics. The University of Texas at Arlington.

keywords:
  - data science
  - machine learning
  - deep learning
  - regression
  - health analytics
  - infant mortality rate
  - mortality rate
  - python
  - kaggle
  - google colab
  - github
  - github codespaces
  - vs code
  - scikit-learn
  - keras
  - jax
  - knn
  - k-nearest neighbors
  - xgboost
  - streamlit
  - dockerhub
  - docker
  - jupyter notebook
  - jupyter lab
  - jupyter
  - binder
  - anaconda
  - conda
  - pixi
  - pip
  - uv
  - uta
  - ut arlington
  - linux

license: MIT
version: 0.17.10
date-released: '2025-11-25'
references:
  - type: dataset
    title: Health Analytics
    authors:
      - given-names: Rajanand
        family-names: Ilangovan
    year: 2017
    url: https://www.kaggle.com/datasets/rajanand/key-indicators-of-annual-health-survey
    repository: Kaggleg
    notes: Kaggle health analytics dataset utilized as primary data source for this capstone project.