Data Science and Machine Learning with Python and R - Deploy Machine Learning Model using Flask

5.0 (2)

18 learners

What you'll learn

This course includes

14 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

using flask to serve a machine learning model as a restful web service deploy machine learning model using flask deploy machine learning model python deploy ml model using flask using flask to serve a machine learning model as a restful webservice deploy machine learning model django deploy machine learning models in production as apis embedding a machine learning model into a web application

Full Transcript

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.[3] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools. Extensions are updated far more regularly than the core Flask program. #FlaskmodelDeployment Github link: https://github.com/krishnaik06/Deployment-flask You can buy my book where I have provided a detailed explanation of how we can use Machine Learning, Deep Learning in Finance using python url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560675332&s=gateway&sr=8-1

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