How to Deploy Machine Learning Models | 100 Days of Python: Day 54
Welcome to Day 54 of the 100 Days of Python series! Today, we're taking our machine learning models to the next level by deploying them in real-world applications. In this video, you'll learn:
How to export and save trained models in Python
Creating a simple web API with Flask to serve your model
Deploying your model on cloud platforms like Heroku
By the end of this tutorial, you'll have a fully deployed model that can make predictions in the real world. Don't forget to like, subscribe, and hit the bell for daily Python tutorials!
Tags:
Python, Machine Learning, Model Deployment, Flask, Web API, TensorFlow, Keras, Heroku, Cloud Hosting, Python tutorial, Data Science, AI, Artificial Intelligence, 100 Days of Python, Learn Python, Machine Learning Models, Model Serving, Python Programming, Hands-on Python, Deployment Tutorial, Python for Beginners, ML Deployment
Hashtags:
#Python #MachineLearning #Flask #WebAPI #TensorFlow #Keras #Heroku #CloudHosting #100DaysOfPython #PythonTutorial #AI #DataScience #LearnPython #PythonProgramming #ModelDeployment