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Web interface for browsing, search and filtering recent arxiv submissions
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data ๐
A curated list of awesome R packages, frameworks and software.
This repository contains the code used in the paper: Benchmarking anomaly detection methods, Elena Tiukhova, Bart Baesens, Monique Snoeck
bioinformatics for big omics data. Winter 2014. Professor Raphael Gottardo
Interactive Layout-Aware Construction of Bespoke Charts
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset
Deep understanding of banking and trading book in bankโs operation Working knowledge of Bankโs wholesale and retail lending products Hands-on experience of Basel credit risk parameters (LGD) estimation in SAS Explored the difference between expected and unexpected credit loss
Credit Risk Models for Scorecards, PD, LGD, EAD
Credit-Risk Modelling Libraries
The Leek group guide to data sharing
Example code and materials that illustrate applications of SAS machine learning techniques.
Handy commands to run in Go projects
LEARNING GIT
Deep Learning for humans
Content for Udacity's Machine Learning curriculum
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
machine learning and deep learning tutorials, articles and other resources
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Machine Learning
This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
TensorFlow (Python API) implementation of Neural Style
openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.