Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the approp…

Machine learning project using the Boston Housing dataset to predict median home values. Includes EDA, feature engineering, and linear regression modeling to uncover key drivers of price variation and provide data‑driven insights.