dnkirill/allstate_capstone
Allstate Kaggle Competition ML Capstone Project
Implements an end-to-end regression pipeline combining XGBoost and Keras neural networks with hyperparameter tuning via Hyperopt, then stacks predictions using linear regression for improved accuracy. Structured as four Jupyter notebooks covering exploratory data analysis, individual model optimization with K-Fold cross-validation, and ensemble validation. Includes deployment scripts for AWS EC2 instances (CPU and GPU variants) and supports both pretrained models for quick evaluation and from-scratch training workflows.
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Jupyter Notebook
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Dec 10, 2016
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