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DataProcessing

This repository is for practicing tabular data workflows with Python on some datasets.

What I am doing

  • Exploratory Data Analysis (EDA)
  • Data cleaning (duplicates, invalid or missing-like values)
  • Data preprocessing and transformation
  • Categorical encoding (label mapping, one-hot encoding)
  • Feature scaling (StandardScaler)
  • Basic feature selection/extraction (correlation and chi-square)
  • Preparing final model-ready datasets

Tools used

  • Python
  • NumPy
  • pandas
  • matplotlib
  • seaborn
  • scikit-learn
  • scipy

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Practicing EDA, data cleaning, scaling, feature encoding and preprocessing on datasets.

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