Run Your ML Model Locally with Flask | Step-by-Step Python Tutorial скачать в хорошем качестве

Run Your ML Model Locally with Flask | Step-by-Step Python Tutorial

In this video, you’ll learn how to run your Machine Learning model locally using Flask — no cloud services, no HTML front-end, just pure Python. This step-by-step tutorial shows you how to: ✅ Set up a Flask app from scratch ✅ Load and use your trained ML model (scikit-learn, TensorFlow, etc.) ✅ Create simple Flask routes for predictions ✅ Run everything on your local machine (localhost) By the end, you’ll be able to test your ML model in real time through a local Flask API — perfect for practicing deployment and integration skills. 📌 Keywords: Flask machine learning, deploy ML model Flask, Flask localhost tutorial, Flask ML project, Python Flask for data science, Flask API for ML, run ML model locally 💻 Requirements: Python, Flask, your trained ML model file (e.g., .pkl) 🔔 Subscribe for more Python + ML deployment tips and practical data science projects!