dtreeviz
eli5
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| dtreeviz | eli5 | |
|---|---|---|
| 3 | 1 | |
| 2,836 | 2,730 | |
| - | 0.0% | |
| 5.4 | 0.0 | |
| 4 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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
eli5
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How to extract keywords important to a text classification problem?
https://github.com/TeamHG-Memex/eli5 can help you.
What are some alternatives?
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
lime - Lime: Explaining the predictions of any machine learning classifier
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
psych-verbs - Research experiment design and classification of Romanian emotion verbs
course-nlp - A Code-First Introduction to NLP course
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.
graph_summarizer - summarize text using graphs and language vector models
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.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.