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url_scraper_label_classifier

us-county

US County Maps in R

us-state-opiates

State-level plots of opiod death rates, 1999-2014

us_census

Database Analysis and Classification

us_elections_results

usbuildingfootprints

Computer generated building footprints for the United States

useful-data-science-snippets

Useful functions/configs with annotations for daily data science workflow

useful-jupyter-tricks

Useful Jupyter Tricks in a Jupyter Notebook

user-based-collaborative-filtering-recommender-system

Implements a simple user-based collaborative filtering recommender system for predicting the ratings of an item using the data given. The prediction would be done using k nearest neighbors and Pearson Correlation. Finally using the similarity of the k nearest neighbors, predict the ratings of the new item for the given user

user.2015

userguide

User guide for Dato's Machine Learning Platform.

usethis

Set up commonly used 📦 components

using-random-patterns-to-predict-the-sp500

(Python) Using Random Patterns to Predict the S&P 500

utfpr-2017

(In Portuguese) Um estudo exploratório sobre indicadores de receptividade em projetos de software livre

utilityoptimizationregression

Learning Through Utility Optimization in Regression Tasks - DSAA 2017

utils

Przydatne funkcje w Pythonie

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

vae-for-anomaly-detection

MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow

vae_cf

Variational autoencoders for collaborative filtering

validate-prediction-algos

Validate Prediction Algorithms for Solar Flares Occurrence

validate-prediction-algos-modular

Validate Prediction Algorithms for Solar Flares Occurrence with Modular Code

validate-prediction-algos-paper

Validate Prediction Algorithms for Solar Flares Occurrence with respresentative sample

validate_rfm_rfmtc_cdnow

Validation of the training and testing processes of the RFM and RFMTC models using R language and the CDNOW transactional data set..

validatingmodelsinr

Slides and code for "Validating Models in R" Strata 2016 RDay http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48053

value-based-reinforcement-learning

Introduction to advances of value-based reinforcement learning

vancouver_housing

Data collection, EDA, and prediction of Vancouver housing prices

vandata

Data Science with City of Vancouver Data

vanilla-rtb

Real Time Bidding (RTB) - Demand Side Platform framework

vantgrd-py

Vantgrd for Python: simple implementation of widely used Machine Learning algorithms