This repository is a collection of machine learning projects completed during a summer camp at George Mason University. Each folder contains a different experiment or learning module focused on core ML concepts, algorithms, and data processing techniques.
The projects were developed hands-on as part of the camp curriculum, exploring topics like supervised learning, natural language processing, neural networks, genetic algorithms, and more.
| Folder | Description |
|---|---|
DataScraping |
Scripts for scraping and collecting datasets from online sources. |
dataCleaning |
Preprocessing scripts for cleaning, formatting, and structuring raw data. |
GeneticAlgorithm |
Implementation of a basic genetic algorithm for optimization tasks. |
NLTK |
Natural Language Toolkit examples for text analysis and NLP tasks. |
RandomForrestML |
Random Forest classification/regression experiments. |
SVMClassification |
Support Vector Machine models applied to classification datasets. |
blasterNN |
A simple neural network project (possibly a game or classifier—see inside). |
- Location: George Mason University - Online
- Duration: Summer (4 years ago)
- Focus Areas: Machine Learning fundamentals, Python programming, algorithms, and applied AI techniques.