An integrated Deep Learning suite for sustainable civil engineering. Features an end-to-end Multi-Layer Perceptron neural network to predict concrete compressive strength, execute dynamic low-carbon chemical mix optimization, visualize time-series hardening kinetics, and benchmark predictive machine learning algorithms.
data-science machine-learning deep-learning neural-network machine-learning-algorithms regression-analysis concrete-strength deep-learning-models neural-networks-and-deep-learning data-science-projects tensorflow-keras optimization-simulation streamlit-dashboard model-benchmarking tensorflow-keras-model regression-analysis-feature-engineering streamlit-dashboard-for-deployment model-benchmarking-and-optimization concrete-strength-prediction sustainable-engineering
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Updated
Oct 23, 2026 - Jupyter Notebook