elguarir/machine-learning-classifiers-app

Machine Learning Classifiers

This project contains machine learning classifiers for predicting flower types and Titanic survival.

Project Structure

The project is divided into two main parts: the backend and the frontend.

Backend

The backend is written in Python and uses Flask for the web server. It contains three classifiers:

• Flower Classifier using Decision Trees (FlowerClassifierTrees)
• Flower Classifier using Random Forest (FlowerClassifierRandomForest)
• Titanic Survival Classifier (TitanicSurvivalClassifier)

The backend server provides endpoints for training the classifiers and making predictions.

Frontend

The frontend is a React application written in TypeScript. It provides a user interface for interacting with the classifiers.

Getting Started

1. Install the Python dependencies for the backend:

cd backend
pip install -r requirements.txt

2. Start the backend server:

python app.py

3. Install the JavaScript dependencies for the frontend:

cd frontend
npm install

4. Start the frontend server:

npm run dev

Now you can open your browser and navigate to http://localhost:5173 to interact with the application.