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MPG regression model using XGBoost with GridSearchCV and PyTorch

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Ranga2904/MPG_Predictor

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This repo contains code that uses regression to predict car mileage, given physical attributes of the car. All data used is from UCI Berkeley's public repository. This is a regression exercise, with a blog post detailing the effort and results written here: [https://towardsdatascience.com/predicting-vehicle-fuel-efficiency-c6065479a72f]

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Defining the problem
Data visuaization using seaborn and matplotlib
Feature engineering and selection
Model fitting and training using ensemble classifiers, decision trees, and PyTorch neural networks
Conclusions and recommendations for client

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MPG regression model using XGBoost with GridSearchCV and PyTorch

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