shuyi1981

shuyi1981

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Location:Shanghai

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shuyi1981's repositories

Football-matches-prediction

Football matches prediction project

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Bayesian-Analysis-with-Python

《用Python做贝叶斯分析》

License:MITStargazers:0Issues:0Issues:0

bayesian-football

Replication of 'Bayesian hierarchical model for the prediction of football results' using pymc

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

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BITCOIN-PRICE-PREDICTION-USING-SENTIMENT-ANALYSIS

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

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books_forked

some books

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CQF

The CQF program

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DynBayes

DynBayes

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epl-prediction

A Machine Learning solution to predicting the outcome of an English Premier League match

License:MITStargazers:0Issues:0Issues:0

epl-prediction-2017

Predicting weekly football results in EPL for the 2017 season

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football-crunching

Analysis and datasets about football (soccer)

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gp_tutorial_pydata

PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3

License:NOASSERTIONStargazers:0Issues:0Issues:0

ipython-soccer-predictions

Sample iPython notebook with soccer predictions

License:Apache-2.0Stargazers:0Issues:0Issues:0

karlis-ntzoufras-reproduction

Reproduction of "Bayesian modelling of football outcomes" in Stan

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moneyline-team-strengths

Code, analysis, and data for estimating team strengths from odds data

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muffin-cupcake

classifying muffin and cupcake recipes using support vector machines

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nba-prediction-models

Using machine learning to predict the result of an NBA game

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PoissonRegression

Possion Regression Example in Python

License:GPL-3.0Stargazers:0Issues:0Issues:0

predictEPL

Predicting England Premier League's Outcomes Using Sentiment Analysis with Twitter.

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Predicting_Winning_Teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

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premier_league

Premier league betting odds with Bayesian Models

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

pymc-bivariate-poisson

A Stochastic class implementing the bivariate poisson process for PyMC 2

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

pymc3_vs_pystan

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

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python-mle

A Python package for performing Maximum Likelihood Estimates

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Sportify-

A website to predict the winner of a Soccer game.

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stan_workshop_2016

Bayesian Modeling using Stan in R (May/June 2016)

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TLGProb

TLGProb: Two-Layer Gaussian Process Regression Model For Winning Probability Calculation of Two-Team Sports

License:MITStargazers:0Issues:0Issues:0

Tutorial

test branch

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TutorialPyMCRugby

My Tutorial for PyData London

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