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Maersk Home Assignment Repository

This repository contains the code for the home assignment provided by Maersk. The details of the assignment are outlined below:

Assignment Details

  1. Exploratory Data Analysis (EDA):

    • Conducted comprehensive EDA activities on the vessel data provided as part of the assignment.
    • Derived important insights and conclusions from the EDA process.
  2. Machine Learning Modeling for Vessel Unloading Delay Forecasting:

    • Developed a notebook dedicated to machine learning modeling.
    • Forecasted vessel delay, which represents the time a ship waits in the vicinity of the port for its cargo to get unloaded.

About the Author

Hi there! I am a seasoned Data Scientist with expertise in data analysis, machine learning, and predictive modeling. In this repository, I have showcased my skills through the exploration and modeling of vessel data provided by Maersk.

Feel free to explore the notebooks and code in this repository to gain insights into the vessel data and the forecasting of vessel delays. If you have any questions or feedback, please don't hesitate to reach out.

Thank you for visiting this repository!

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