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.
exploratory-data-analysis feature-engineering dataset-description model-evaluation project-overview actionable-insights scenario-analysis modeling-approach model-explainability data-quality-assessment strategic-recommendations technical-stack ethical-considerations project-artifacts business-problem-framing key-drivers-housing-prices methodology-workflow-summary limitations-future-work model-assumption-checks
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Updated
Apr 28, 2026 - Jupyter Notebook