
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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Blog post that discusses the limitations of ordinary least squares (OLS) linear regression and motivates the use of Bayesian regression.
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A step-by-step walkthrough 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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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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A series of questions about Naive Bayes and discovery of their answers through synthetic data.
Read MoreOpen the ethics blog as a PDF.
ethics-blog.pdf