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Learn machine learning fundamentals using Apache Spark through this comprehensive video series covering data import, exploratory analysis, transformers, estimators, pipelines, featurization, and model training with interpretation techniques for distributed learning environments.
Syllabus
Apache Sparkâ„¢ ML and Distributed Learning (1/5)
Data Import and Exploratory Analysis (2/5)
Transformers, Estimators, and Pipelines (3/5)
Featurization (4/5)
Model Training and Interpretation (5/5)
Taught by
Databricks