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1. customer-segmentation-insurance-ml customer-segmentation-insurance-ml Public

   Machine 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,…

   Jupyter Notebook

2. credit-risk-through-economic-cycles credit-risk-through-economic-cycles Public

   End-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…

   Jupyter Notebook

3. deep-learning-challenge deep-learning-challenge Public

   Deep learning model using TensorFlow to predict charity funding success based on structured application data. Includes full preprocessing, optimization, and evaluation steps.

   Jupyter Notebook

4. Crowdfunding_ETL Crowdfunding_ETL Public

   Forked 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

5. Machine-Learning-PokerHands Machine-Learning-PokerHands Public

   Forked from hlbecker08/Project4_pokerHands

   Created a machine learning model to classify poker hands using over 1 Million hand samples. After testing KNN, Random Forest, Linear Regression, and Neural Networks, we achieved 100% accuracy with …

   Jupyter Notebook

6. R-Housing-Price-Regression R-Housing-Price-Regression Public

   Regression 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.