Advanced Machine Learning: From Feature Engineering to Deployment

(3 days)

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Summary

This advanced course is designed to provide a deep dive into the critical components of machine learning workflows, focusing on feature engineering, model validation, hyperparameter tuning, and deployment. Through a combination of theoretical knowledge and hands-on projects, participants will learn how to refine and optimize machine learning models for real-world applications. The course culminates in an end-to-end project, giving participants the opportunity to apply their skills from data preprocessing to model monitoring in a practical scenario.

Content

• Feature Engineering

• Handle Missing Data

• Handle Categorical Encoding

• Model Validation

• Hyperparameters Tuning

• Model Deployment

• Model Monitoring

• Build End-to-End Machine Learning Models