Abstract: In this talk, we will explore how PyCaret 3, an open-source machine learning library in Python, can significantly accelerate machine learning workflows. PyCaret 3 offers a low-code approach to building, training, and deploying machine learning models, making it an ideal tool for data scientists and developers who want to focus on the business problem rather than the technical details.
The talk will cover the main features of PyCaret 3, including its simplified interface for data preparation and pre-processing, built-in model selection and hyperparameter tuning capabilities, and easy deployment to cloud platforms. We will also demonstrate how PyCaret 3 can be used to build end-to-end machine learning pipelines that can be easily replicated and scaled across different datasets and projects.
Through practical examples and demos, we will show how PyCaret 3 can help data scientists and developers streamline their workflows, reduce development time, and improve model performance. The talk is aimed at both beginners and experienced practitioners who want to learn about the latest advancements in machine learning tooling and how to apply them to real-world problems.
Understand end-to-end real life machine learning workflows in Python.
Learn how you can use PyCaret to experiment, develop, and deploy machine learning pipelines.
Tools: We will use Python and PyCaret https://www.github.com/pycaret/pycaret
Bio: Innovator, Technologist, and a Data Scientist turned Product Manager with proven track record of building and scaling data products, platforms, and communities. Experienced in building and leading teams of data scientists, data engineers, and product managers. Strongly opinionated tech visionary and a thought partner to C-level leadership.
Moez Ali is an inventor and creator of PyCaret. PyCaret is an open-source, low-code, machine learning software. Ranked in top 1%, 8M+ downloads, 7K+ GitHub stars, 100+ contributors, and 1000+ citations.
Globally recognized personality for open-source work on PyCaret. Keynote speaker and top ten most-read writer in the field of artificial intelligence. Teaching AI and ML courses at Cornell, NY and Queens University, CA. Currently building world’s first hyper-focused Data and ML Platform.