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machne-learning

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This project analyzes traffic accident data to identify patterns and predict crash severity using machine learning models. Various classification algorithms, including Random Forest, Logistic Regression, Decision Tree, and K-Nearest Neighbors (KNN), were trained to classify accident types.

  • Updated Jan 31, 2025
  • Jupyter Notebook

An interactive Power BI dashboard analyzing car sales data with filters for location, ship mode, and year. Provides insights into sales trends, budget performance, and profitability with key KPIs and visual breakdowns by segment, category, and month.

  • Updated Nov 9, 2024

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