Lab: Developing additional ML Models for Sales Forecasting

More Algorithms to Maximize Predictive Power

Take your predictive modeling skills to the next level in this advanced workshop where we'll expand our machine learning toolkit by implementing more forecasting approaches.

Building on our initial forecasting model, we'll apply newly acquired knowledge to experiment with different algorithms - from simple regression to sophisticated ensemble methods - using the same sales dataset. 

Discover how strategic feature engineering transforms model performance as you create and select variables that capture complex sales patterns. Through hands-on development, validation, and testing, we'll experience how data scientists iteratively improve their models. The session culminates in an evaluation of algorithm performance, revealing which approaches best capture sales dynamics. 

This practical experience provides invaluable insight into the model selection process, equipping with the knowledge to confidently evaluate forecasting solutions and communicate effectively with data science teams implementing AI in organizations.

• Outline
• Choosing an algorithm
• Feature engineering
• Development, validation and testing
• Evaluation

• Format
• This session is hands-on. Attendees work on their laptops

• Level
• Intermediate

• Prerequisite Knowledge
• Machine Learning Algorithms & Evaluation

• Learning Outcomes
• Experience developing advanced machine learning predictive models