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scatter-plots

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🔴 Predicting Insurance Claim Amounts 🔴 This project analyzes the Medical Cost Personal Insurance Dataset to understand key factors influencing healthcare expenses. Through data cleaning, visualization, and feature engineering, important patterns in age, BMI, smoking, and region were uncovered.

  • Updated Nov 16, 2025
  • Jupyter Notebook

🔍 Predict insurance claim costs using data analytics and machine learning to reveal insights about healthcare expenses and improve accuracy in predictions.

  • Updated Dec 14, 2025
  • Jupyter Notebook

🔸 Predicting House Prices with Linear Regression 🔸 This project predicts house prices using Linear Regression based on key features like square footage, bedrooms, bathrooms, lot size, and neighborhood quality. Built with Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis and visualization.

  • Updated Sep 3, 2025
  • Jupyter Notebook

📊 Build a predictive model to estimate house prices using Linear Regression, transforming raw data into actionable business insights.

  • Updated Dec 14, 2025
  • Jupyter Notebook

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