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Python for Fantasy Football – Random Forest and XGBoost Hyperparameter Tuning

Mar
2019 23 Python for Fantasy Football – Random Forest and XGBoost Hyperparameter Tuning

Python for Fantasy Football – Feature Engineering for Machine Learning

Mar
2019 06 Python for Fantasy Football – Feature Engineering for Machine Learning

Python for Fantasy Football – Understanding Random Forests

Feb
2019 05 Python for Fantasy Football – Understanding Random Forests

Python for Fantasy Football – Addressing Class Imbalance Part 2

Feb
2019 03 Python for Fantasy Football – Addressing Class Imbalance Part 2

Python for Fantasy Football – Addressing Class Imbalance in Machine Learning

Jan
2019 06 Python for Fantasy Football – Addressing Class Imbalance in Machine Learning

Python for Fantasy Football – Introduction
Data Science

Python for Fantasy Football – Introduction

How to Play Daily Fantasy Football
Guides

How to Play Daily Fantasy Football

Understanding How to Pick DraftKings Players
DraftKings

Understanding How to Pick DraftKings Players

Understanding How to Pick Yahoo Players
Yahoo

Understanding How to Pick Yahoo Players

Previews

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August 10, 2018 26 Responses

EPL 2018/19 Season Preview

Hello and welcome to my EPL 2018/19 season preview! Thank you to everyone who has supported the site over the past year by reading and sharing the articles! Unfortunately I have decided not to do slate previews...
June 14, 2018 27 Responses

Russia 2018 World Cup Fantasy Preview: Group E-H

Welcome to part 2 of my Russia 2018 World Cup preview, this time for groups E-H. Part 1 got a great response on Twitter, so thanks to everyone who liked or retweeted it! A lot more work has gone into this than ...
June 12, 2018 26 Responses

Russia 2018 World Cup Fantasy Preview: Group A-D

The 2018 World Cup is finally here, so I decided to write a two-part World Cup preview article to help break down the fantasy relevant players from each team. This is a pretty long article so whilst you could r...

Analysis

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March 23, 2019 49 Responses

Python for Fantasy Football – Random Forest and XGBoost Hyperparameter...

Welcome to part 10 of my Python for Fantasy Football series! Since part 5 we have been attempting to create our own expected goals model from the StatsBomb NWSL and FA WSL data using machine learning. If you mi...
March 6, 2019 34 Responses

Python for Fantasy Football – Feature Engineering for Machine Learning

Welcome to part 9 of my Python for Fantasy Football series! Since part 5 we have been attempting to create our own expected goals model from the StatsBomb NWSL and FA WSL data using machine learning. If you mis...
February 5, 2019 27 Responses

Python for Fantasy Football – Understanding Random Forests

Welcome to part 8 of my Python for Fantasy Football series! Since part 5 we have been attempting to create our own expected goals model from the StatsBomb NWSL and FA WSL data using machine learning. I wanted t...