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Predict why are our best and most experienced employees leaving prematurely? using machine learning.
Автоматизована система "Кадри"
Prediction of "left/stayed" employees using Decision Trees and more
For Internship Task
Сайт на MVC5 и SQL Server для создания, редактирования, просмотра сотрудников и их руководителей.
Human Resources Data Mining for Kaggle Challenge
With increasing intervention of non-human bidders(bots) on online bidding websites, human bidders started becoming more and more frustrated with their inability to win against them. To develop a fair and trustworthy online bidding platform, the respective website owners need to get rid of the computer-generated bidding or bidders (bots). Classical models which use behavioral data such as bid frequency over a short period fell short in front of the modern and evolving workarounds. Our aim is to predict such imposter bots with better precision and speed. This becomes more interesting as there is not much line of differentiation between those two.
The methodological contribution of my master thesis : "Hybrid unsupervised and supervised strategies for fraud detection" (adapted to a public Kaggle credit card dataset)
implementation of Hybrid fuzzy-rough Rule induction and feature selection paper 2009 by Richard Jensen
Combining global optimization algorithms with adaptive distance and prototype selection algorithms for feature selection and weighting.
Exploiting side information in Collaborative Filtering (Increasing the quality of pure user based CF by using different methods)
Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
Exploring differentiation with respect to hyperparameters
Distributed Asynchronous Hyperparameter Optimization in Python
Learning the impact of Hyperparameters in a deep learning model
Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
:exclamation: This is a read-only mirror of the CRAN R package repository. ibelief — Belief Function Implementation
Organization page
Code for our KDD'2015 paper: "Influence at Scale: Distributed Computation of Complex Contagion in Networks"
ICE: Item Concept Embedding
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.