Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
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Updated
Apr 14, 2023 - Jupyter Notebook
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
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This repository contains the project where the goal is to develop a machine learning model that can accurately predict car prices based on various features. We explored multiple models including K-Nearest Neighbor, Decision Tree, Catboost Classifier, and Light Gradient Boosting Classifier.
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