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This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.
Deep learning model using TensorFlow to predict charity funding success based on structured application data. Includes full preprocessing, optimization, and evaluation steps.