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human-resources-analytics-kaggle

human-resources-analytics-project-using-python-

Predict why are our best and most experienced employees leaving prematurely? using machine learning.

human-resources-data-analysis

human-resources-department

Автоматизована система "Кадри"

human-tower-resources

human_resources_analytics

Prediction of "left/stayed" employees using Decision Trees and more

human_resources_analytics-1

humanresources

For Internship Task

humanresources-1

Сайт на MVC5 и SQL Server для создания, редактирования, просмотра сотрудников и их руководителей.

humanresourcesanalytics

humanresourcesanalytics-1

humanresourcesass

humanresourcesdatamining

Human Resources Data Mining for Kaggle Challenge

humanvsrobot

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.

hybrid-approach-for-recommendation-system

hybrid-fraud-detection

The methodological contribution of my master thesis : "Hybrid unsupervised and supervised strategies for fraud detection" (adapted to a public Kaggle credit card dataset)

hybrid-fuzzy-rough-rule-induction-and-feature-selection

implementation of Hybrid fuzzy-rough Rule induction and feature selection paper 2009 by Richard Jensen

hybrid-optimization-techniques

Combining global optimization algorithms with adaptive distance and prototype selection algorithms for feature selection and weighting.

hybrid-reco-system

Exploiting side information in Collaborative Filtering (Increasing the quality of pure user based CF by using different methods)

hybrid-recommender

Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.

hybrid_forest

Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm

hypergrad

Exploring differentiation with respect to hyperparameters

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperparameterlearningtf

Learning the impact of Hyperparameters in a deep learning model

hyperspec-wgan

Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

ibelief

:exclamation: This is a read-only mirror of the CRAN R package repository. ibelief — Belief Function Implementation

ibmpredictiveanalytics.github.io

Organization page

ic-eval

Code for our KDD'2015 paper: "Influence at Scale: Distributed Computation of Complex Contagion in Networks"

ice

ICE: Item Concept Embedding