KMean – Clustering using MLOPS (MLFLOW)

Description

The intention of this course is to teach MLOps fundamentals to Advance Level and not AWS ML. AWS demo section is included as a proof to show the working of an end-to-end MLOps project. All the codes involved in pipeline are explained though. “MLOps is a culture with set of principles, guidelines defined in machine learning world for smooth implementation and productionization of Machine learning models.”

Data scientists have been experimenting with machine learning models from long time, but to provide the real business value, they must be operationalized i.e. push the models to production. Unfortunately, due to the current challenges and an non systemization in ML lifecycle, 80% of the models never make it to production and remain stagnated as an academic experiment only.

Machine Learning Operations (MLOps), emerged as a solution to the problem, is a new culture in the market and a rapidly growing space that encompasses everything required to deploy a machine learning model into production. As per the tech talks in market, 2023 is the year of MLOps and would become the mandate skill set for Enterprise ML projects.