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pipeline-engineering

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carysva / Tuning-Deep-Neural-Networks-on-E-Commerce-Data

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Experimented with 16+ deep neural network configurations in TensorFlow on e-commerce demand data to compare tuning sensitivity, performance, and runtime tradeoffs. Best model: 2-layer (128->64), ReLU, Adam, LR 0.001, batch 128, early stopping, validation MAE 12.54 in ~126 seconds.

python machine-learning deep-neural-networks deep-learning tensorflow feature-engineering mini-batch-training pipeline-engineering
  • Updated Apr 29, 2026
  • Python

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