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This week, I trained a random forest with 25% lower error than my linear housing-price model on the same validation set. Then I used maps and feature importance to explore what it had learned about location and transit access
Deep Learning
nswekosk
(Nicholas J Swekosky)
October 11, 2026, 2:40am
1
This week, I built a linear model and neural network to predict real-estate prices on an unfamiliar dataset. Along the way, I fixed mismatched error metrics and inconsistent feature scaling, and learned to rebuild/explain the workflow on my own