PyCaret Masterclass: Machine Learning for Business Analysts

GOTO Copenhagen 2022

This 8-hour full-day Masterclass on PyCaret: Machine Learning for Business Analysts specifically targets data science enthusiasts and omain experts. In this fully hands-on Masterclass, you will learn several important concepts and techniques in machine learning with the help real-life business problems. You will have an opportunity to learn directly from Moez Ali – the creator of PyCaret himself. PyCaret is one of the most used and popular open-source, low-code, machine learning library in Python with over 5M downloads and a welcoming community. Moez is the founding developer of PyCaret and a senior data scientist who has led multimillion-dollar AI projects in Healthcare, Fintech, Retail, and CPG industries.

Learning Outcomes

• Understand machine learning lifecycle (CRISP-DM) and learn what are the key components of real-life machine learning project.
• Learn end-to-end applied machine learning in Python using PyCaret library.
• Use Python programming language to train and evaluate machine learning models to solve important business problems in various domains.
• Develop an understanding of key concepts in machine learning such as cross-validation, hyperparameter tuning, model ensembling.
• Perform time-series forecasting tasks in Python using PyCaret library.

Course Syllabus

• Machine Learning Lifecycle (CRISP-DM)
• Time Series Forecasting
• Supervised Machine Learning
• Automated Hyperparameter Tuning
• Clustering Analysis
• Experiment Logging and MLOps
• Classification Models
• Model Ensembling
• Regression Models
• Exploratory Data Analysis