Explore incremental model training approaches for machine learning in this comprehensive video tutorial. Learn about continuous model retraining techniques to address model drift and maintain performance over time. Dive into practical examples using Python libraries, covering topics like feature extraction, bag of words, prediction, pipelines, and performance metrics. Access accompanying code on GitHub to follow along and implement these strategies in your own projects. Gain valuable insights into keeping machine learning models up-to-date and effective as new data becomes available.