Senior Data Engineer, National Bank of Belgium
Data Scientist, SwissRe
Big Data & Analytics architect, Amazon
Senior Data Engineer, Hogan Assessment Systems
In this PySpark Project, you will learn to implement pyspark classification and clustering model examples using Spark MLlib.
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Agenda
This is the 13th project in the PySpark series. The twelfth project mainly focuses on Regression in Spark MLlib. This project mainly focuses on Classification and Clustering in Spark MLlib. Apache Spark uses Spark MLlib to do machine learning. This project also includes the implementation of a Decision tree classifier, Random forest classifier, and K-Means clustering algorithms.
Tech stack:
➔Language: Python
➔Package: PySpark
➔Services: Spark
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