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A project based on Mercedes Benz test bench data for vehicles at the testing and quality assurance phase. Data consists of high number of feature columns. Key highlights from the project include - Dimensionality reduction using PCA and XGBoost Regression used after the dimensionality reduction to predict the time required to test the vehicles.

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machine-learning principal-component-analysis xgboost-regression dimensionality-reduction label-encoding pandas sklearn matplotlib

pca-and-xgboost-regression-mercedes-benz-test-data's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @Ransomk
  • ๐Ÿ‘€ Iโ€™m interested in Data Science, Technology, Finance, Video games, Art, Pop Culture, Memes
  • ๐ŸŒฑ Iโ€™m currently learning Data Science
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Data Science and data analysis projects
  • ๐Ÿ“ซ How to reach me. Holla at me on my email - [email protected]

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