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In this comprehensive tutorial, learn step-by-step how to deploy your machine learning models using Flask, Docker, and Google Cloud Platform. Whether you are a developer or a data scientist, this video will provide you with the knowledge needed to build scalable and performant web applications based on your ML models. What you will learn: Installing and configuring Flask to serve your model Containerization with Docker for better portability and ease of deployment Deploying on Google Cloud Platform to take advantage of cloud infrastructure and scale efficiently In this video Deploying Machine Learning Models with Flask, Docker and GCP: 0:00 - Introduction 01:31 - Steps to deploy a model 04:38 - Presentation of the problem 05:20 - Creation of the virtual environment 06:35 - Creation of the model 09:50 - Serialization 10:22 - Creation of the API 20:04 - Creation of a Google Cloud Platform account 21:45 - Containerization 24:01 - Deployment on GCP 31:44 - Conclusion and subscribe ???? The codes and resources are available here: https://github.com/LeCoinStat/LeCoinS... #LeCoinStat #datascience #statistics #machinelearning --------------------------------------- ???? Relevant links ???? My newsletters: https://natacha-njongwa-yepnga.ck.pag... YouTube: https://www.youtube.com/c/LeCoinStat?... Linkedin: / natacha-njongwa-yepnga Discord: / discord TikTok: https://vm.tiktok.com/ZMLEgAhku/ Instagram: / lecoin_stat Facebook: / lecoinstat