Machine Learning Data Analysis Web App

A user-friendly web application for performing data analysis with machine learning techniques, built with Streamlit and designed to help you explore, visualize, and model your datasets with ease.

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Features

• 📂 Upload CSV datasets for analysis
• 📊 Interactive and customizable data visualizations
• 🤖 Train, evaluate, and compare multiple machine learning models
• 🎯 Make predictions and export results
• 🚀 Easy deployment and use via Streamlit

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Installation

1. Clone the repository:

git clone https://github.com/FAHAD-ALI-github/MachineLearning-WebApp-For-Data-Analysis.git
cd MachineLearning-WebApp-For-Data-Analysis

2. Create and activate a virtual environment:

python -m venv venv
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate

3. Install required dependencies:

pip install -r requirements.txt

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Usage

Run the Streamlit app locally:

streamlit run app.py

Once running, open your browser and navigate to the URL displayed in the terminal (usually http://localhost:8501).

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🌐 Live Demo

https://machinelearning-app.streamlit.app/

-> Streamlit APP Link

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Contact

If you have any questions, feedback, or suggestions, feel free to reach out:

• ✉️ Email: [email protected]
• 🔗 LinkedIn: linkedin.com/in/fahadali1078

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Acknowledgments

Thank you for using the Machine Learning Data Analysis Web App! We hope it empowers you to gain valuable insights from your data.