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weighted_knn_classification

Code for "Multiclass Classification via Class-Weighted Nearest Neighbors"

weighwords

Python library for creating word clouds from text

weirdhta

A python tool to create obfuscated HTA script.

west-nile-virus-prediction

Kaggle competition - Predict West Nile virus in mosquitos across the city of Chicago

west_nile_virus_2015

the 2nd place solution for West Nile Virus Prediction challenge on Kaggle

wfm

Weighted Factorization Machines

what-if-tool

Source code/webpage/demos for the What-If Tool

what_do_you_recommend

recommender systems for books

whats_cooking

where-are-you-tweeting-from-

Use of Naiive Bayes Text Classification and Mutual Information Feature selection to predict from what major city region a twitter user is tweeting

whilemymcmcgentlysamples

my blog

whisper

Whisper is a file-based time-series database format for Graphite.

who-stole-the-postage-

Who Stole the Postage? Fraud Detection in Return-Freight Insurance Claims

who_is_resigning

Human resources data mining with machine learning algorithms

why-to-choose-warehouse-management-software

Why to choose Warehouse Management Software Warehouse management software is one of the features which enhances the overall inventory management software to increase the productivity of the business. From managing the overall stock in the inventory to systematically managing them in proper groups, everything is worked in a streamlined manner to avoid any kind of hassles in the whole inventory process. Reasons to choose warehouse management software · Helps in tracking inventory and customers at the same time · Enhances business productivity · Helps in catalog management · Provides barcoding facility which helps in assessing the goods easily · Provides robust reporting Have a look at TYASuite India’s 1st plug and play Warehouse Management Software which lets you organize your warehouse clutter-free and also boost the supply chain by fulfilling the orders on time. Get the Free Trial Version now!

whynot

A Python sandbox for decision making in dynamics

wian

AMIA submission examining note-derived vector representations

wide_deep

Wide and Deep Neural Network For Reccomendation Systems

wids_datathon_2020

Code used to solve Kaggle competition on WiDS Datathon 2020

wiki-detox

See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse

wiki-pagecounts-merge

Python scripts to download and merge Wikipedia.org page count dumps into a single file

wiki-telegram-bot

wikiart

Full retriever for art and metadata in http://wikiart.org/

wikipedia-correlation

Estimating stock price correlations using Wikipedia

wikipedia-web-traffic-time-series-forecasting

A Machine Learning approach to predict hits on Wikipedia server

wikipedia-webtraffic-challenge

Attempt at the https://www.kaggle.com/c/web-traffic-time-series-forecasting challenge.

wikipedia_analysis

Different techniques to measure the quality of Wikipedia

wikipedia_web_traffic

Forecasting the future values of multiple time series, as it has always been one of the most challenging problems in the field. More specifically, we aim the competition at testing state-of-the-art methods designed by the participants, on the problem of forecasting future web traffic for approximately 145,000 Wikipedia articles.

wikipediaentities

Derive named entities from Wikipedia

wikipediaforecast

Code for "Web Traffic Time Series Forecasting" Kaggle competition