https://github.com/mxsaad/csc4850-project

Classification and missing value estimation.
https://github.com/mxsaad/csc4850-project

classification docker jupyter knn python svm

Last synced: 15 days ago
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Classification and missing value estimation.

• Host: GitHub
• URL: https://github.com/mxsaad/csc4850-project
• Owner: mxsaad
• Created: 2024-11-02T22:31:39.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-24T18:33:05.000Z (about 1 month ago)
• Last Synced: 2024-11-24T19:17:49.474Z (about 1 month ago)
• Topics: classification, docker, jupyter, knn, python, svm
• Language: Jupyter Notebook
• Homepage:
• Size: 30.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CSC4850 Machine Learning Project

This repository contains a machine learning project set up with Docker and Jupyter Notebook.

## Setup Instructions

1. Clone the repository.

2. Run `docker-compose up` to start the Jupyter Notebook in Docker.

3. Access Jupyter Notebook at `http://localhost:8888`.

## Persistent Storage

The `notebooks` directory is mounted as a volume, so any notebooks created are saved persistently.