fraud-detection-handbook VS uawardata

Compare fraud-detection-handbook vs uawardata and see what are their differences.

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fraud-detection-handbook uawardata
1 3
429 113
5.4% -
0.0 0.0
3 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fraud-detection-handbook

Posts with mentions or reviews of fraud-detection-handbook. We have used some of these posts to build our list of alternatives and similar projects.

uawardata

Posts with mentions or reviews of uawardata. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing fraud-detection-handbook and uawardata you can also consider the following projects:

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

data - Data and code behind the articles and graphics at FiveThirtyEight

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning

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.

kuwala - Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

demo-fraud-detection-with-p2p - Exploring Neo4j and Graph Data Science for Fraud Detection

images - Public domain photos of Members of the United States Congress

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

images - Repository for pre-built dev container images published under mcr.microsoft.com/devcontainers