bhaveshk22 / project---modeldeployment_streamlit

"This repository showcases a Streamlit Model Deployment project. It provides a practical guide for deploying Machine Learning models using Streamlit." 😊

🚀 Simplifying Model Deployment: A Journey with Streamlit

This repository contains a 'Streamlit Model Deployment' project. It showcases how to deploy a Machine Learning model using Streamlit, an open-source app framework for Machine Learning and Data Science projects. The goal of this project is to provide a practical guide for model deployment that can be easily understood and implemented.

Screenshots

Roadmap

• Streamlit App Development: I then developed a Streamlit app that provides a user-friendly interface for interacting with the model. This included creating input fields for data, setting up the model prediction, and displaying the results.

• Deployment: The final step was deploying the Streamlit app. With just a few lines of code, the model was up and running on a web server, ready to make real-time predictions.

Lessons Learned

This project was a great opportunity to explore the capabilities of Streamlit for model deployment. It was particularly interesting to see how Streamlit simplifies the process of turning a machine learning model into an interactive web application.

I’m looking forward to exploring more ways to leverage Streamlit in the future.

Authors

• @bhavesh

Hi, I'm Bhavesh! 👋

🚀 About Me

I'm a Full Stack Data Scientist

🔗 Links

🛠 Skills

1. C, C++, Python
2. SQL
3. Machine Learning
4. Deep Learning
5. Data Science

Summary of My Journey

👩‍💻 I'm currently a student

🧠 Btech Computer Science

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