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# AutoML Application
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An automated machine learning application built with Streamlit that helps users to:
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- Load and preprocess data
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- Train multiple ML models (Logistic Regression, SVM, Random Forest)
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- Automatically select the best model
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- Visualize model performance
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- Make predictions with the trained model
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## Features
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- **Data Upload & Analysis**: Upload CSV or Excel files, view statistics, and visualize correlations
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- **Automated Data Preprocessing**: Handle missing values and categorical encoding
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- **Model Training**: Train multiple models with hyperparameter tuning
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- **Model Visualization**: Compare model performance with various metrics
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- **Prediction**: Make predictions using the trained model
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## Setup
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1. Clone this repository
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2. Install the requirements:
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```
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pip install -r requirements.txt
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```
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3. Run the application:
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```
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streamlit run main.py
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```
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