Alidzhon Aminov

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Data Preprocessing with Numpy: Loan Dataset

Project Summary

Prepared a loan dataset for analysis and machine learning using NumPy. Focused on cleaning, transforming, and organizing the data. Domain knowledge was applied to handle missing values and inconsistencies, ensuring the dataset was reliable and ready for modeling.

Highlights:

  • Cleaned missing or inconsistent data to ensure dataset reliability
  • Transformed textual data into numerical values for machine learning
  • Removed redundant data and organized the dataset for better structure

Outcome:

  • Produced a clean, consistent dataset for loan prediction modeling
  • Improved data quality by incorporating domain knowledge rules into preprocessing

    • Technologies used

    • Python
    • NumPy
    View the code.
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