Feature engineering and data preparation on Delhivery logistics data to create modeling-ready features for delivery time and operational analysis.
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Updated
Feb 2, 2026 - Jupyter Notebook
Feature engineering and data preparation on Delhivery logistics data to create modeling-ready features for delivery time and operational analysis.
Associated with IISc. A group project on MMP-TIMP.
Comprehensive benchmark of PCA, Kernel PCA and t-SNE on the MNIST dataset with dimensionality reduction, image reconstruction, visualization and classification analysis.
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