Machine Learning Made Easy With PyCaret
Offered By: GOTO Conferences via YouTube
Course Description
Overview
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.
Syllabus
Intro
AI & data landscape – 2022
PyCaret
Phases of ML
ML life cycle
Data prep, model training & selection
Features
Use-cases supported in PyCaret
Integrations
Demo
Outro
Taught by
GOTO Conferences
Related Courses
Passion Driven StatisticsWesleyan University via Coursera Machine Learning With Big Data
University of California, San Diego via Coursera Big Data - Capstone Project
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Анализ данных: финальный проект
Moscow Institute of Physics and Technology via Coursera