This video is a complete guide to feature engineering and transforming data for improved machine learning results.
Perfect for those looking to scale their ML workflows with PySpark, it covers everything from data preprocessing to training a linear regression model. You'll learn to handle numerical and categorical features, perform imputation, feature scaling, and vector assembly.
Greg also demonstrates how to evaluate models using regression metrics and addresses the unique challenges of working with distributed systems like Spark.
#MachineLearning #AI #DataScience #ArtificialIntelligence #MLAlgorithms
