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Project #1: Neural Networks for Concrete Compressive Strength Predictions - An Exercise in Deep Learning Modeling

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https://github.com/artemkk/flask-api/tree/master Table of Contents Project Summary Learning Outcomes Project Premise Starting Goals Constraints & Unknowns Project Topics API Process Results Similarities & Differences Learning Outcomes & Improvements Data Set & Data Exploration Process Results Similarities & Differences Learning Outcomes & Improvements Database Process Results Similarities & Differences Learning Outcomes & Improvements Neural Network Model Process Results Similarities & Differences Comparison Learning Outcomes & Improvements Yeh's Validation Experiment & Use Case Conclusion Citation Project Summary I made a Flask API that pulls data from a local PostgreSQL database and pushes it into a *feed-forward* neural network in the aim of predicting concrete compressive strength based on eight constituent features. After doing so, I read the academic paper [1] that sourced me with this data set for the first time. This was don...