https://github.com/shengyuan-lu/cs-178-project
Project for CS 178 Machine Learning and Data Mining. (Course)
https://github.com/shengyuan-lu/cs-178-project
cs-178 data-mining machine-learning uc-irvine
Last synced: 4 months ago
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Project for CS 178 Machine Learning and Data Mining. (Course)
- Host: GitHub
- URL: https://github.com/shengyuan-lu/cs-178-project
- Owner: shengyuan-lu
- Created: 2023-05-16T05:26:05.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-22T20:12:34.000Z (almost 2 years ago)
- Last Synced: 2025-04-04T08:46:14.659Z (6 months ago)
- Topics: cs-178, data-mining, machine-learning, uc-irvine
- Language: Jupyter Notebook
- Homepage:
- Size: 5.76 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CS-178-Project
Compare the effectiveness of K-Nearest Neighbors (KNN), Logistic Regression, Feed-Forward Neural Networks (FNN), and Decision Tree, on the Fashion-MNIST dataset.
## Setup
1. Git Clone
2. Download the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset, unzip, put the `data` folder under the root folder of this project.## Report










## Contributors
- [Chi Zhang](https://github.com/Somdit)
- [Shengyuan Lu](https://www.shengyuan-lu.com/)
- [Kaiyuan Hu](https://github.com/kaiyuanh2)