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Scalable Machine Learning with SparkML - Census Income Classification

Project information

Built a complete machine learning pipeline in SparkML using the Adult Census dataset (~48k rows, 14 features). Implemented data preprocessing, feature encoding, cross-validation, and model training with Logistic Regression and Random Forest. Evaluated models with metrics such as AUC and F1-score. Reflected on scalability trade-offs and optimizations in distributed ML.

spark sparkML machine-lear... classification pyspark big-data data-science

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Created on

April 19, 2025

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