Joe-Naz01/ml_tree
This repository explores the performance trade-offs between Tree-based models and Linear models across two distinct domains: Healthcare (Classification) and Automotive Engineering (Regression).
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 28, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Joe-Naz01/ml_tree"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SENATOROVAI/Normal-equation-solver-multiple-linear-regression-course
Multiple Linear Regression (MLR) models the linear relationship between a continuous dependent...
SENATOROVAI/Normal-equations-scalar-form-solver-simple-linear-regression-course
The normal equations for simple linear regression are a system of two linear equations used to...
SENATOROVAI/underfitting-overfitting-polynomial-regression-course
Underfitting and overfitting are critical concepts in machine learning, particularly when using...
andrescorrada/IntroductionToAlgebraicEvaluation
A collection of essays and code on algebraic methods to evaluate noisy judges on unlabeled test data.
stabgan/Multiple-Linear-Regression
Implementation of Multiple Linear Regression both in Python and R