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Machine Learning Dashboard

Project Overview

This project features a Machine Learning Dashboard that demonstrates various machine learning algorithms and their applications. The dashboard includes interactive visualizations and demonstrations of algorithms like Linear Regression, Decision Trees, Naive Bayes, and more.

Features

  • Interactive visualizations of machine learning algorithms.
  • Demonstrations of performance evaluation metrics like Confusion Matrix, Accuracy, Recall, and F1 Score.
  • Real-time demonstrations using Django for backend processing.

Installing

A step-by-step series of examples that tell you how to get a development environment running.

Clone the Repository

git clone https://github.com/internic/machine-learning-dashboard.git
cd machine-learning-dashboard

Setup Virtual Environment

Windows
python -m venv venv

venv\Scripts\activate
Linux/Mac
python3 -m venv venv
source venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Running the Application

python manage.py runserver

Navigate to http://localhost:8000/ to view the dashboard.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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