eli5
dtreeviz
| eli5 | dtreeviz | |
|---|---|---|
| 1 | 3 | |
| 2,730 | 2,842 | |
| 0.8% | - | |
| 0.0 | 5.4 | |
| about 2 years ago | 4 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
eli5
-
How to extract keywords important to a text classification problem?
https://github.com/TeamHG-Memex/eli5 can help you.
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?
lime - Lime: Explaining the predictions of any machine learning classifier
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
course-nlp - A Code-First Introduction to NLP course
psych-verbs - Research experiment design and classification of Romanian emotion verbs
graph_summarizer - summarize text using graphs and language vector models
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.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
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.