Top 10 Jupyter Notebook Xgboost Projects
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eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
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fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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aws-lambda-docker-serverless-inference
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)
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StravaKudos
:running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.
Jupyter Notebook Xgboost related posts
Index
What are some of the best open-source Xgboost projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | dtreeviz | 2,829 |
2 | eli5 | 2,708 |
3 | Intrusion-Detection-System-Using-Machine-Learning | 319 |
4 | feature-engineering-tutorials | 263 |
5 | fraud-detection-using-machine-learning | 248 |
6 | benchmarks | 163 |
7 | aws-lambda-docker-serverless-inference | 91 |
8 | examples | 65 |
9 | StravaKudos | 9 |
10 | data-science-python | 0 |