Topic: "implicit-regularization"
CarolinaPerdomo/Thesis
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
Language: Mathematica - Size: 16.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
jonland82/seatgeek-beta-modeling
A research-driven analysis of dynamic ticket pricing, modeling distributions with scaled Beta estimates derived from limited statistics (min, max, mean, median). The approach enriches Random Forest classification by incorporating shape parameters (α, β) and leveraging constant-value features for implicit regularization. Based on SeatGeek data.
Language: Jupyter Notebook - Size: 4.59 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
