Complete ML Model Building & Deployment as a Website Using Flask - Tamil
In this video, you'll get a complete hands-on guide to developing a Machine Learning (ML) model from scratch and deploying it as a fully functional web application using Flask. Whether you're a beginner or an experienced developer, this tutorial will help you understand every step of the ML model development and deployment process.
🔹 What You’ll Learn:
✅ Understanding the ML workflow (Data Preprocessing → Model Training → Evaluation)
✅ Building and training a Machine Learning model in Python
✅ Saving and loading trained models using Pickle
✅ Creating a Flask web application to serve the model
✅ Designing a simple HTML/CSS UI for user interaction
✅ Deploying the Flask app on a cloud platform (Heroku, Render, or AWS)
🛠️ Technologies Used:
🔹 Python (Pandas, NumPy, Scikit-Learn)
🔹 Flask (for web development)
🔹 HTML, CSS (for UI)
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Code
Github link - https://github.com/Thirumurugan240/Ub...
💡 By the end of this video, you'll have your own ML-powered web app running online
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💬 Have questions? Drop them in the comments!
#MachineLearning #Flask #MLDeployment #AI #Python #DeepLearning #FlaskWebApp