GitHub / AryanPatill / Fuel-Efficiency-Prediction--Python
This is a learning project for practice, using regression on the Auto MPG dataset to predict fuel efficiency. It involves building a Neural Network with RMSprop, MSE loss, data normalization, and early stopping to prevent overfitting. Key: normalize data, use MAE/MSE, optimize model.
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PURL: pkg:github/AryanPatill/Fuel-Efficiency-Prediction--Python
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License: mit
Language: Jupyter Notebook
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Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: data-visualization, datapreprocessing, deep-learning, early-stopping, featurescaling, loss-functions, machine-learning, modelevaluation, neural-network, python3, regression