Build Your First Winning DFS Report using Microsoft Excel
This is the fourth newsletter in our six-part series. It walks through how to create your first Winning DFS report to use analytics to win more at DFS fantasy hockey.
More Winning Strategies and Statistics for DFS fantasy Hockey!
This is the third in our six-week newsletter series on DFS fantasy hockey. In this edition, we cover more winning strategies and how you can map analytics to them for winning, data-driven decision making.
Winning DFS Strategies & Stats to Crush Fantasy Hockey
This is the second newsletter in our DFS Fantasy Hockey series, where we explore winning strategies, how those strategies stack up against DraftKings' scoring system and then introduce some specific statistics that will help you build your own analytically-driven system to win at DFS.
DFS Fantasy Hockey 101: Your Ultimate Kickoff Guide!
This is the first newsletter in a new series on DFS fantasy hockey where we will cover strategies, analytics, sample data, and walk through how to create your own analytical tools to win at DFS fantasy hockey.
Predicting Wins using k-Nearest Neighbors
In this week's newsletter, we feature another AI and hockey analytics topic on predicting game outcomes using k-nearest neighbors (KNN).
Optimizing your Predictive Models
In this week's newsletter, we continue our AI series with a seventh newsletter on AI and Hockey Analytics and introduce you to how you can optimize your predictive models to make them stronger and better-performing.
Driverless AI: Building the Perfect Predictive Model
This is the sixth newsletter in our AI and Hockey Analytics series. This week, we cover AutoML and how you can use it to create the perfect win prediction model using H2O.ai.
Predicting Wins using Support Vector Machine Models
This week's newsletter continues the AI and Hockey Analytics series and covers how you can use Support Vector Machine (SVM) models to predict game outcomes.
Predicting Game Wins using Logistic Regression
This week's newsletter introduces you to a common machine learning technique called Logistic Regression and shows you how you can use this technique to predict if NHL teams will win or lose their games.
