DataRobot are coming to Ottawa! Gain the skills you need to make the most of the automated capabilities of DataRobot.
“Organizations will be valued not just on their big data,but on the algorithms that turn that data into actions and impact customers.”
– Gartner Research
Gain the skills you need to make the most of the automated capabilities of DataRobot to explore, model, and act on data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice on best practices in machine learning, and guidance on how to integrate predictions into your production systems.
Relentlessly Practical Data Science Education in Days, Not Months
DataRobot is designed by some of the world’s best data scientists. Learn their practical techniques for accurate prediction and actionable understanding. See how modern tools increase focus on business insights by automating mathematical detail. Learn expert best practices to make modeling faster, easier, less error-prone, and more successful.
Course Outline:
MACHINE LEARNING PROJECT OBJECTIVES
- Choosing a business problem
- Acquiring subject matter expertise
- The unit of analysis and prediction target
- Prioritizing modeling criteria
- Risks and success criteria
ACQUIRING AND EXPLORING DATA
- Finding appropriate data
- Merging data
- Exploratory data analysis
- Understanding target leakage
- Feature Engineering
MODELING DATA
- Variable selection
- Building candidate models
- Validation and selection
INTERPRETING MODELS
- The confusion matrix and model performance
- Model performance by prediction range
- Feature fit
- Feature impact
- Feature effects
- Prediction explanations
- Additional model insights
MODEL IMPLEMENTATION, MONITORING, AND MAINTENANCE
- Batch predictions
- The prediction API
- Model documentation
- Data drift
Who Should Attend?
This course is appropriate for all new and prospective DataRobot users, including business analysts, managers, and early career data scientists.
