Gain an understanding to use Flask, Heroku, AWS, Google Cloud, Microsoft Azure, and Streamlit to implement Machine Learning Models.
20+ End-To-End Machine Learning Projects & Deployment online course aims to teach beginners and intermediate data science enthusiasts the most efficient ways to deploy machine learning models while practicing on projects to gain a better understanding of the course. The course is designed for the participants who want to master machine learning with python programming and utilize it for data analysis operations and become professional data scientists. This course will show them how to deploy their machine learning models in the cloud the way the industry does it.
20+ End-To-End Machine Learning Projects & Deploymentonline certification is created by Mr. Britt - Data Scientist, Product Manager & Instructor and is made available through Eduonix, an educational organization that provides learning materials for skill development to individuals who want to advance in their careers. Participants who wish to enroll in the 20+ End-To-End Machine Learning Projects & Deployment online training are advised to have a basic knowledge of Python Programming and machine learning to make their learning more efficient and effective.
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After completing the 20+ End-To-End Machine Learning Projects & Deployment certification course, participants will gain a thorough understanding of the fundamentals of machine learning and data science. Participants will learn how to integrate machine learning functions into Python scripts to analyze data for data science operations. Participants will be able to develop Flask APIs, deploy machine learning models, and make them available through cloud servers such as AWS, Azure, Google Cloud, Heroku, and Streamlight.
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