Concrete compressive strength prediction with machine learning using the R Caret package.

Analysing the concrete dataset from I-Cheng Yeh (1998) with Python, scikit-learn, Bokeh

Feature Engineering on Concrete Strength prediction using Machine Learning Techniques in Python

A jupyter notebook with a python script for predicting the strength of concrete test cubes at 28 days given any age before then, and two additional parameters.

Tabular presentation of concrete strength

A Hybrid Physics-Informed Machine Learning (PIML) System for Iraqi Concrete Optimization. Integrating DoE, Transfer Learning, and Lean Six Sigma for Engineering Certainty. [Phase 1: EDA]

Concrete strength prediction based on its composition and curing process using CatBoost, XGBoost and LGBM.

My projects and practices on various segments of machine learning and deep learning.

Predict concrete compressive strength using an artificial neural network (ANN).

Microsoft Student Accelerator 2020: Predicting Concrete Strength with Artificial Neural Networks

A python program that uses Neural Network to predict strength of given samples of concrete.

Compare Machine Learning and Artificial Intelligence models for predicting concrete compressive strength — featuring a Tkinter GUI, TensorFlow/Keras AI, Scikit-learn ML, and SQLite integration.

Predicting concrete compressive strength using regression-based machine learning models.