Главная
Study mode:
on
1
Intro
2
AI & data landscape – 2022
3
PyCaret
4
Phases of ML
5
ML life cycle
6
Data prep, model training & selection
7
Features
8
Use-cases supported in PyCaret
9
Integrations
10
Demo
11
Outro
Description:
Discover how to simplify machine learning workflows using PyCaret in this conference talk from GOTO Copenhagen 2022. Learn about the open-source, low-code Python library that automates machine learning processes and significantly reduces development time. Explore PyCaret's features, supported use cases, and integrations with popular frameworks like scikit-learn, XGBoost, and LightGBM. Watch a practical demonstration showcasing how to integrate PyCaret into machine learning projects, empowering citizen data scientists and experienced professionals alike. Gain insights into the AI and data landscape of 2022, understand the phases of machine learning, and see how PyCaret streamlines the entire ML lifecycle from data preparation to model deployment.

Machine Learning Made Easy With PyCaret

GOTO Conferences
Add to list