https://github.com/jackosheadev/oopmachinelearning

This is a project I created for my OOP course during semester 2 which uses Naïve Bayes to identify the likelihood of someone being an entrepreneur
https://github.com/jackosheadev/oopmachinelearning

java machine-learning naive-bayes-algorithm naive-bayes-classifier prediction predictive-modeling

Last synced: 12 days ago
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This is a project I created for my OOP course during semester 2 which uses Naïve Bayes to identify the likelihood of someone being an entrepreneur

• Host: GitHub
• URL: https://github.com/jackosheadev/oopmachinelearning
• Owner: JackOSheaDev
• Created: 2022-03-09T23:21:42.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2022-04-20T16:20:53.000Z (over 2 years ago)
• Last Synced: 2024-11-08T20:27:42.616Z (2 months ago)
• Topics: java, machine-learning, naive-bayes-algorithm, naive-bayes-classifier, prediction, predictive-modeling
• Language: Java
• Homepage:
• Size: 175 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# My Machine Learning project:

This is a project I created for the second semester of OOP. It uses

Naive Bayes to read a dataset and calculates the probability of

someone becoming an entrepreneur or a comic book character being a hero.

## Core Functionality:

The core functionality of this program is that it can read a dataset and perform Naive Bayes on it

to determine the probability of someone becoming an entrepreneur.

## Advanced Functionality:

The advanced functionality of this program is that the UI and data reading

are performed dynamically based on the inputted data. By using a categorical

CSV file, the program is able to dynamically read info about the dataset

and perform Naive Bayes with no modification to the code.

## What would I add?:

If I had more time for this project I would consider finding an algorithm similar

to Naive Bayes and see if i could increase the accuracy or experiment with adding

functionality for numerical data rather than categorical data.

## Link to video:

https://www.youtube.com/watch?v=LR3jmVT92m4 Part 1 which shows the entrepreneur dataset.

https://www.youtube.com/watch?v=LvwfaX1RHl0 Part 2 which shows the superhero dataset.

## Link to Repo

https://github.com/JackOSheaDev/OOPMachineLearning

## Classes:

### MachineLearning

#### FileReader:

Used to read in the contents of a file using the Java file object.

#### CSVReader:

An implementation of FileReader that is built to read in a CSV.

#### DataAnalyser:

A class which splits the dataset into a form which is easier to read.

#### NaiveBayes:

Performs the Naive Bayes algorithm on the dataset passed to the CSV Reader.

#### Main:

Runs the main code to demonstrate how it works.

### MachineLearningGUI

#### CustomComponents:

A class which creates customised styled components for the GUI.

#### Model

A class which stores all the data used by the GUI.

#### View

A class which stores all the UI elements of the GUI.

#### Controller

A class which interacts with the model and view to display information.

#### Main

A class which initialises the main GUI.