Projects
Exploration of Bayesian Regression
Blog post that discusses the limitations of ordinary least squares (OLS) linear regression and motivates the use of Bayesian regression.
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Credit Card Fraud Prediction
A step-by-step walk through of a credit card fraud detection project, covering exploratory data analysis, PCA for feature selection, and a logistic regression model optimized to minimize false negatives while maintaining accuracy.
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California Grape ETL Pipeline
A stremalit GCP app that extracts, transforms, and loads California wine grape data web scraped from a government website.
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Random Forest Voting Methods
A case study on different voting methods for aggregating predictions in a Random Forest classifier such as majority voting, weighted voting and ranked voting.
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Naive Bayes Questions & Answers
A series of questions about Naive Bayes and dicovering of their answers through synthetic data.
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