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MLOps with PyCaret - Practical Demo for Data Science Workflows

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

Pycaret Courses Data Science Courses Machine Learning Courses Python Courses MLOps Courses Data Preparation Courses Model Deployment Courses Low-code development Courses

Course Description

Overview

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Discover how to streamline your machine learning workflows with PyCaret in this 1-hour 11-minute workshop session from MLOps World: Machine Learning in Production. Join Moez Ali, the founder and author of PyCaret, as he demonstrates the power of this open-source, low-code machine learning library in Python. Learn how PyCaret can significantly boost your data science team's productivity by enabling you to progress from data preparation to model deployment within minutes, all in your preferred environment. Through practical demonstrations, explore how to integrate PyCaret into your existing workflows, enhancing efficiency and accelerating the MLOps process.

Syllabus

Workshop Sessions: MLOps with PyCaret


Taught by

MLOps World: Machine Learning in Production

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