Applied Data Science Using PySpark

Applied Data Science Using PySpark

Learn the End-to-End Predictive Model-Building Cycle

Krishnan, Sundar; Gunnu, Venkata; Dhamodharan, Balaji; Kakarla, Ramcharan

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

12/2024

449

Mole

9798868808197

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Chapter 1: Setting up the Pyspark Environment.- Chapter 2: PySpark Basics .- Chapter 3: Variable Selection.- Chapter 4: Variable Selection.- Chapter 5: Supervised Learning Algorithms.- Chapter 6: Model Evaluation.- Chapter 7: Unsupervised Learning and Recommendation Algorithms.- Chapter 8: Machine Learning Flow and Automated Pipelines.- Chapter 9: Deploying machine learning models.- Chapter 10: Experimentation.- Chapter 11: Modeling Frameworks.
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Data science in pyspark;pyspark machine learning;machine learning in pyspark;Pyspark;Machine Learning