All posts by James

OOTP Predictions for April 2 2019

Baseball Diamond

When you look at the results from April 1, it appears that Boston can’t seem to get their engine started. It’s been losing to what most would consider inferior teams. Granted, it’s still early in the season, and the team has yet to play a home game. But, they won 108 games out of 162 […]

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OOTP Predictions for April 1 2019

Green Baseball Diamond

The OOTP predictions for April 1, 2019 are ready, and they a likely to make you think it’s some kind of April Fool’s joke. Unfortunately, that is not the case. The results were rather bad once again.My initial inclination was to run simulations less frequently. However, experiments don’t always work out the way you planned. […]

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OOTP Predictions for March 31

Baseball Diamond

The simulator did not do well with this run. Only five of the teams were predicted correctly. One game, Pittsburgh vs. Cincinnati was postponed. Several games were upsets like Boston vs Seattle and Yankees vs. Orioles. These are teams that should have won handily.As I keep suggesting, the simulator may not have been designed to […]

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Predictions for March 30 OOTP Simulator

Old Style Scale

As the games were played late in my time, I decided to update in the morning. The results are six out of the eight games were predicted correctly by the OOTP simulation module. Boston did win last night but by a narrow margin. It’s the beginning of the season, so we shouldn’t be surprised to see […]

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OOTP Predictions for March 29

Baseball Icon

Each day that I run simulations, I will post my analysis of the previous run’s predictions. With that said here is yesterday’s analysis: https://datasciencereview.com/did-the-baseball-simulator-fail-for-opening-day-2019While writing my analysis last night, Boston was still playing the Mariners and were losing to them. This is the biggest upset in the set of predictions. OOTP predicted that Boston would win […]

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Did the Baseball Simulator Fail for Opening Day 2019?

Baseball Batter Cartoon

As a refresher, I set up an experiment using Out of the Park Baseball for opening day 2019. If you did read that post, I updated the results which show several incorrect predictions. Did the baseball simulator fail for opening day 2019?If you read through my assumptions, you’ll see that the simulator did exactly as […]

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Use Baseball Data to Learn Statistics

Data Tells a Story

Statistics has been known to be a dry subject to learn. But, when you couple the data of America’s favorite past time, it can bring the subject to life.

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Using Dplyr in R to Subset Baseball Data

Baseball with Coding Image

There’s something about statistics and baseball. They seem well-suited for one another. It’s been that way since the inception of the game. People have been keeping not only the scores of the games and teams, but also the scores of the players in the form of statistics. This leads to managing a seriously large amount of […]

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The Start of Baseball Season 2019

The secret about the start of baseball season 2019 is that it already started. That’s right! The season began officially on March 20, 2019. There were only two teams playing on that day (and the next) which were the Seattle Mariners and the Oakland A’s. They played two successive games in Japan. I think the reason […]

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Can Wine and Beer Help You Get Started in Machine Learning?

Do you enjoy a nice glass of wine or beer? Did you know those two drinks could be used to help you understand the process of machine learning? That is what the following video will provide to you. It shows how machine learning can be used to learn from data that contains features describing the properties […]

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