eli5
fraud-detection-using-machine-learning
eli5 | fraud-detection-using-machine-learning | |
---|---|---|
1 | 7 | |
2,730 | 248 | |
0.8% | 0.0% | |
0.0 | 1.8 | |
about 2 years ago | almost 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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.
fraud-detection-using-machine-learning
What are some alternatives?
lime - Lime: Explaining the predictions of any machine learning classifier
hugging-face-workshop - A 90-minute hands on workshop about Hugging Face on SageMaker.
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
demo-fraud-detection-with-p2p - Exploring Neo4j and Graph Data Science for Fraud Detection
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
course-nlp - A Code-First Introduction to NLP course
PulmoLens - aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁
graph_summarizer - summarize text using graphs and language vector models
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.