KevinSC13's repositories
blogScripts
Repository for code used in my blog posts
fancyss
fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.
fancyss_history_package
科学上网插件的离线安装包储存在这里
FBP
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。程序根据各大博彩公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本:(第三轮目前13中12) 8月10日:13让负(正确) 8月11日:27让负(正确) 8月12日:11让负(正确) 8月13日:6胜(不正确) 8月14日:25让负(正确) 8月15日:无预测 8月16日:1胜(正确) 8月17日:6让负(正确) 8月18日:16胜(正确) 8月19日:34让负(正确) ... 1.0版本(第一轮为11中9) 2.0版本(第二轮13中11).
fifa-FUT-Data
Web-scraping script that writes the data of all players from FutHead and FutBin to a CSV file or a DB
football-predictor
Using a Deep Neural Network (DNN) to predict the results of Premier League Football Matches
Pandas-Cookbook-Second-Edition
Pandas Cookbook Second Edition, published by Packt
pgmpy
Python Library for Probabilistic Graphical Models
pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
Predicting_Winning_Teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
ProphitBet-Soccer-Bets-Predictor
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
soccerdata
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, SoFIFA, Understat and WhoScored.
sports_betting_with_reinforcement_learning
This is the code for "Sports Betting with Reinforcement Learning" By Siraj Raval on Youtube
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition