Getting ready for machine learning - cleaning up free NHL game and odds datasets
Before beginning any feature engineering or ML, it’s necessary to clean up the data first. In this article we work through a real-life example
来週、ユダヤの祝日のハヌカーです。ハヌカー中の8日間、毎日ろうそくに火をつけて、贈り物をあげます。8日間も贈り物をくれるので、クリスマスを祝っている僕の友達はいつも羨ましそうです。
去年、東京でハヌカーを祝っていたけど、今年はコロナなので出張がないです。トロントで祝っています。
Before beginning any feature engineering or ML, it’s necessary to clean up the data first. In this article we work through a real-life example
Discovering several profitable trends that consistently produce positive returns yearly
Leveraging historical performance and spread data to predict what team will cover the spread
昨日はカナダの選挙でした。人気ではありませんでした。
Comparing at the over/under line from 2010 with weather, team ratings, weeks, etc
A review of Matt Rudnitsky’s ‘Smart Sports Betting: How to Shift from Diehard Fan to Winning Gambler’
64% percent of stocks underperform the market and only 6.1% will outperform by 500%+. What makes these outperformers unique?
Using standard QB stats from 2016-2019, teammate ratings, and strength of schedule to predict 2020 fantasy points.
Using standard QB stats from 2016-2019 to compare predicted 2020 fantasy points vs actual performance.
雪が降っていて、桜はアイスクリームみたい
来週、ユダヤの祝日のハヌカーです。
毎年、北米で人気のゲームFantasy Footballをプレイしています。
Available on iOS, Android, BlackBerry, and Web, Red Sea Rescue is a passover themed game using tilt controls to avoid obstacles.
EZ4X is a graphical, automated forex paper trader that allows users to choose techincal indicators and risk tolerance to automatically execute trades on a cu...