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OOTP Predictions for April 3
The OOTP Predictions for April 3 are complete and ready for you to view below. The results from yesterday's games are falling in line with previous predictions. There were seven incorrect predictions and
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OOTP Predictions for April 1 2019
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
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OOTP Predictions for March 31
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
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Predictions for March 30 OOTP Simulator
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
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OOTP Predictions for March 29
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
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Did the Baseball Simulator Fail for Opening Day 2019?
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
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Use Baseball Data to Learn Statistics
Why should you use baseball data to learn statistics? Because it's a fun way to grasp the concepts. Having said that, you should realize that the data available for baseball analysis may not be rich enough
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Using Dplyr in R to Subset Baseball Data
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
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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)
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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.
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