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customer-segmentation-insurance-ml
customer-segmentation-insurance-ml PublicMachine learning project segmenting insurance customers into behavioral profiles using K-Means clustering, logistic regression, and random forest. Identifies the highest-value policy buyers from 5,…
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credit-risk-through-economic-cycles
credit-risk-through-economic-cycles PublicEnd-to-end data wrangling project combining LendingClub loan records, NYU Stern credit spreads, and FRED unemployment data into a unified SQLite database to analyze borrower risk across economic cy…
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deep-learning-challenge
deep-learning-challenge PublicDeep learning model using TensorFlow to predict charity funding success based on structured application data. Includes full preprocessing, optimization, and evaluation steps.
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Crowdfunding_ETL
Crowdfunding_ETL PublicForked from cmaijala/Crowdfunding_ETL
ETL pipeline mini-project: Extracted, transformed, and loaded crowdfunding data into a PostgreSQL database. Utilized Python (Pandas, NumPy) for data processing and created an ERD for database design.
Jupyter Notebook
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R-Housing-Price-Regression
R-Housing-Price-Regression PublicRegression analysis in R comparing simple and multiple linear models to predict housing sale prices. Includes residual analysis, QQ plots, MSE/RMSE evaluation, and ANOVA model comparison.
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NYC-CitiBike-Tableau-Analysis
NYC-CitiBike-Tableau-Analysis PublicTableau analysis of 1.6M+ NYC Citi Bike rides revealing distinct commuter vs leisure rider patterns and electric bike dominance. Interactive dashboards built for city officials.
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