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  1. heart-disease-prediction Public

    This project applies machine learning techniques to predict heart disease based on clinical patient data. The goal is to determine the most effective model for accurate and interpretable predictions.

    Jupyter Notebook

  2. Airline-Data-ETL-Pipeline Public

    This project extracts, transforms, and loads airline data into a MySQL database for further analysis in Tableau. The ETL pipeline is built using Python (pandas, SQLAlchemy) and runs inside a Jupyte…

    Jupyter Notebook

  3. time-series-animal-intakes Public

    This project analyzes historical animal intake data from the Austin Animal Center, using time series analysis to uncover trends, seasonality, and forecasting patterns in animal intakes over time.

  4. house-price-prediction Public

    This project applies data science techniques to analyze housing sales data and build a predictive model for home prices.

  5. Marketing-Strategy-Evaluation-for-New-Menu-Item Public

    This project aims to evaluate the effectiveness of three different marketing campaigns

    Jupyter Notebook

  6. advanced-house-pricing-regression Public

    This project explores advanced regression techniques to predict house prices in Ames, Iowa. Using data preprocessing, feature engineering, and machine learning models, we aim to build an accurate p…

    Jupyter Notebook