---
title: Digit Recognizer RF
emoji: 🔢
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.31.0
app_file: app.py
pinned: false
license: mit
python_version: '3.10'
---

# Digit Recognizer - Random Forest

This project is part of my journey to complete 20 Kaggle competitions. It uses a Random Forest Classifier trained on the MNIST dataset to recognize hand-drawn digits.

## Project Aim
The goal is to map high-dimensional pixel data into ten distinct numerical categories. The target is to achieve high accuracy while maintaining a computationally efficient pipeline.

## Dataset
- **Source:** Kaggle Digit Recognizer Competition
- **Format:** 28x28 grayscale images (flattened to 784 pixels)
- **Classes:** 0-9

## Tech Stack
- **Model:** Random Forest Classifier (Scikit-Learn)
- **Deployment:** Streamlit & Hugging Face Spaces
- **Environment:** Python 3.10