Update README.md

README.md

@@ -15,3 +15,46 @@ 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 & 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  
+
+💡 **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. **Enter feature values** (e.g., Feature 1 = `2015`, Feature 2 = `10.5`).
+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](https://github.com/charlapv/ICS5110)
+