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cpv2280/population-prediction

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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App README

title: Population Prediction emoji: 👀 colorFrom: green colorTo: gray sdk: gradio sdkversion: 5.12.0 appfile: app.py pinned: false license: apache-2.0 short_description: Machine Learning Techniques applied to real datasets ---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🌟 ML Predictor: Linear, Polynomial, Random Forests & KNN Regression

📌 Overview

This web app allows users to make predictions using different Machine Learning models: ✅ Linear Regression - Best for simple trends ✅ Polynomial Regression - Captures non-linear relationships ✅ K-Nearest Neighbors (KNN) - Uses nearest data points for predictions ✅ Random Forests - Uses multiple decision trees to make predictions

💡 No installation required! Simply enter values and get instant results.

🚀 Try it Now

🔗 [Launch the ML Predictor](https://charlapv.github.io/ICS5110/)

🔧 How to Use

1.Select a model (Linear, Polynomial, Random Forests or KNN).
2.Upload the file population_dataset.csv file
3.Click Predict to see the result.
4.View the visualization of the prediction.

📜 About the Models

Model	Best For	Description
Linear Regression	Simple trends	Fits a straight line to the data
Polynomial Regression	Non-linear patterns	Uses higher-degree terms for flexibility
KNN Regression	Pattern-based data	Predicts based on nearest neighbors
Random Forests	Complex non-linear data	Uses multiple decision trees to make predictions

📬 Need Help?

If you have any questions, reach out via the GitHub Repository:

🔗 GitHub: Your GitHub Repo