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untitledsaproj

A Sentiment Analysis project using Twitter API

untreaties

scrapes, cleans, transforms, and searches United Nations treaty data

updated-scikit-learn

The commits in the scikit-learn module concern the development of new split criteria for the decision tree algorithm used to deal with imbalanced data sets

upipe

uplift

About uplift modeling

uplift-1

uplift_modeling_metric

upliftml

UpliftML: A Python Package for Scalable Uplift Modeling

upside-down-reinforcement-learning

Landing a Spaceship using Upside-Down Reinforcement Learning (a.k.a ⅂ꓤ)

upside-down-reinforcement-learning-1

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

upsidedown

Simple Python module that "flips" latin characters in a string to create an "upside-down" impression

upsidedownrl

Implementation of "Training Agents using Upside-Down Reinforcement Learning (https://arxiv.org/pdf/1912.02877.pdf)"

ur-caim

Improved CAIM discretization for unbalanced and balanced data

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.

usersimcrs

Conversational Recommender System Evaluation via Simulation

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