https://github.com/tiarmdhnt/titanic-classification-pipeline

This repository implements a classification pipeline for the Titanic dataset using Apache Spark. It covers ETL, data preprocessing, and machine learning model building with algorithms like Logistic Regression, Decision Tree, Random Forest, and Gradient-Boosted Tree. Results're presented through visualizations to support data-driven insights.
https://github.com/tiarmdhnt/titanic-classification-pipeline

apache-spark big-data decision-tree etl-pipeline gradient-boosted-trees hdfs logistic-regression machine-learning pyspark random-forest

Last synced: 18 days ago
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This repository implements a classification pipeline for the Titanic dataset using Apache Spark. It covers ETL, data preprocessing, and machine learning model building with algorithms like Logistic Regression, Decision Tree, Random Forest, and Gradient-Boosted Tree. Results're presented through visualizations to support data-driven insights.

• Host: GitHub
• URL: https://github.com/tiarmdhnt/titanic-classification-pipeline
• Owner: tiarmdhnt
• Created: 2024-12-25T13:15:41.000Z (22 days ago)
• Default Branch: main
• Last Pushed: 2024-12-25T13:16:36.000Z (22 days ago)
• Last Synced: 2024-12-25T14:20:59.068Z (22 days ago)
• Topics: apache-spark, big-data, decision-tree, etl-pipeline, gradient-boosted-trees, hdfs, logistic-regression, machine-learning, pyspark, random-forest
• Language: Jupyter Notebook
• Homepage:
• Size: 172 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Titanic-Classification-Pipeline

This repository implements a classification pipeline for the Titanic dataset using Apache Spark. It covers ETL, data preprocessing, and machine learning model building with algorithms like Logistic Regression, Decision Tree, Random Forest, and Gradient-Boosted Tree. Results're presented through visualizations to support data-driven insights.