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## Summary
Enhancing the Flexibility of Linear Models in Leaf Nodes of Boosted Linear Trees
## Motivation
Linear trees represent a practical technique that not only enhances model performance a…
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**About**
I am trying to implement time series forecasting models using darts. My task is to first train univariate forecasting models and then try to establish a baseline. Once done, then I want to …
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# Simple Regression Analysis
This Jupyter Notebook demonstrates simple regression techniques applied to stock data. It uses Python libraries to fetch stock data, prepare it, and apply linear regres…
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#### Is your feature request related to a problem? Please describe
Currently, I am working in a method comparison project. Basically, we want to asess the agreement between two methods for measuring …
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This project involves predicting the duration of NYC taxi trips using various regression models. The notebook includes steps for data exploration, preprocessing, model training, and evaluation.
## …
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Please review the IM2 of 4.4.5 Instance Models section of the [SRS](https://github.com/CynthiaLiu0805/BridgeCorrosion/blob/main/docs/SRS/SRS.pdf), how is this linear regression reliable and how possib…
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CORE
- [ ] computing-needs-all-voices
- [ ] contracts
- [ ] debugging
- [ ] defining-values
- [ ] function-composition
- [ ] functions-dr
- [ ] functions-examples-definitions
- [ ] function…
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Assume I'm building 2 regression models on the same data (Sales ~ Price):
1. Default Linear Regression model (without standardization) with Price beta B1
2. Default Prophet model with additional reg…
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**Regression Models with Ordered Categorical Outcomes**:
**https://www.pymc.io/projects/examples/en/latest/generalized_linear_models/GLM-ordinal-regression.html**:
## Issue description
After `mak…