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This repository contains a dataset comprising real-life performance data of new employees, encompassing demographic information and test scores. The dataset serves as a fundamental resource for machine learning assignments within the context of the Applied linear Algebra for Machine learning course.

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Employee Performance Dataset (AMML_dataset.xlsx):

This dataset contains real-life performance data of new employees, including demographic information and test scores. It serves as the basis for writing machine learning code as part of the assignment for the course "Advanced Linear Algebra for Machine Learning" (ALA).

The repository includes the following files:

  • 20bcs020_ALA.ipynb: Jupyter Notebook file containing the machine learning code for analyzing the employee performance dataset.
  • ALA_assignment-questions.pdf: PDF file containing the assignment questions related to the ALA course.
  • AMML_dataset.xlsx: Excel file containing the employee performance dataset.

The solutions to the assignment questions can be found within the notebook file (20bcs020_ALA.ipynb), while the dataset (AMML_dataset.xlsx) is used for implementing the machine learning algorithms.

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If you have any questions or suggestions, please feel free to reach out to me at nvarjunmani07@gmail.com.

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This repository contains a dataset comprising real-life performance data of new employees, encompassing demographic information and test scores. The dataset serves as a fundamental resource for machine learning assignments within the context of the Applied linear Algebra for Machine learning course.

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