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How to Serialize - Deserialize model with scikit-learn & Deployment on Heroku, AWS Lambda, ECS, Docker and Google Cloud
What you'll learn:
Model Deployment Process
Different option available for Model Deployment
Deploy Scikit-learn, Tensorflow 2.0 Model with Flask Web Framework
Deploy Model on Google cloud function, App engine
Serve model through Google AI Platform
Run Prediction API on Heroku Cloud
Serialize and Deserialize model through Scikit-learn and Tensorflow
Deploying model on Amazon AWS Lambda
Install Flower prediction model with Docker
Deploy Docker Container on Amazon Container Services (ECS)
Requirements
Basics of Python Programming
Basic knowledge of Web development
Description
Hello everyone, welcome to one of the most practical course on Machine learning and Deep learning model deployment production level.
What is model deployment :
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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