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README.md
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# π ML Predictor: Linear, Polynomial & KNN Regression
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### π Overview
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This web app allows users to **make predictions** using different Machine Learning models:
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**Linear Regression** - Best for simple trends
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**Polynomial Regression** - Captures non-linear relationships
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**K-Nearest Neighbors (KNN)** - Uses nearest data points for predictions
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π‘ **No installation required!** Simply enter values and get instant results.
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## π§ **How to Use**
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1. **Select a model** (Linear, Polynomial, Random Forests or KNN).
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2. **
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3. **Click Predict** to see the result.
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4. **View the visualization** of the prediction.
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---
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+
# π ML Predictor: Linear, Polynomial, Random Forests & KNN Regression
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### π Overview
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This web app allows users to **make predictions** using different Machine Learning models:
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β
**Linear Regression** - Best for simple trends
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β
**Polynomial Regression** - Captures non-linear relationships
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β
**K-Nearest Neighbors (KNN)** - Uses nearest data points for predictions
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β
**Random Forests** - Uses multiple decision trees to make predictions
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π‘ **No installation required!** Simply enter values and get instant results.
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## π§ **How to Use**
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1. **Select a model** (Linear, Polynomial, Random Forests or KNN).
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2. **Upload the file** population_dataset.csv file
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3. **Click Predict** to see the result.
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4. **View the visualization** of the prediction.
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