linear-tree
dtreeviz
| linear-tree | dtreeviz | |
|---|---|---|
| 3 | 3 | |
| 323 | 2,842 | |
| - | - | |
| 0.0 | 5.4 | |
| 11 months ago | 4 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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linear-tree
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Is there any algorithm that combines decision trees with regression models?
Sure is! Here’s an implementation
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Running a randomforest on residuals from a ridge linear model in scikit learn
Check out https://github.com/cerlymarco/linear-tree
- GitHub - cerlymarco/linear-tree: A python library to build Model Trees with Linear Models at the leaves.
dtreeviz
- Dtreeviz: Decision Tree Visualization
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Pybaobab – Python implementation of visualization technique for decision trees
Not really. If we are doing data science for many companies and explainability is an aspect we will likely go for decision trees if the lift for advanced models is minor anyways. We use this (not quite as pretty for visualization but extremely useful to get a grasp if the tree model): https://github.com/parrt/dtreeviz
- How to Visualize Decision Trees
What are some alternatives?
eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
psych-verbs - Research experiment design and classification of Romanian emotion verbs
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
BigFivePersonality - The current project provides a Machine Learning trained model that is able to classify the trait with maximum value of the Big Five Personality Test, given the answers of this one.
Employees-Burnout-Analysis-and-Prediction - The "Employees Burnout Analysis and Prediction" GitHub repository is a project focused on analyzing and predicting employee burnout in an organization.