At its core, data science is not impossible to learn. However, it's the learning process that gets people stuck. People don't know what they need to learn. They hit the search engines which only adds to
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I have enjoyed reading material at Medium.com. Several authors write for the data science space, and of course, that piques my interest. Recently though, they implemented a paywall which stinks. However,
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For July 18, I ran the simulator and found results that didn't seem quite right. Upon investigating I realized that I goofed with OOTP and found something interesting. It turns out this goof had better
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If you have been following this baseball analytics segment of my website, you know that I had purchased the Out of the Park Baseball (OOTP) simulator for the 2019 season. The simulator allows users to
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This post is a summary of the OOTP Prediction to April 19. I decided not to include the first few games in March as much of the stats for those predictions were based on the previous season. By April,
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You have likely heard by now that being a data scientist is the sexiest job of the 21st century. If you haven't, then you probably aren't meant for this industry. The origin of this statement is becoming
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The OOTP Predictions for April 10 2019 are ready and shown below. The results for the OOTP Predictions for April 9 2019 did better than the previous results. But, it wasn't stellar. In true from,
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Yesterday's predictions were amazing, to say the least. When you open it, you'll find there were 13 out of 15 games predicted correctly. I have written in the past how I expect the simulations to improve
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The simulation module for the OOTP Predictions for April 6 2019 predicted correctly 9 out of 15 games. This is something we should expect from a simulator capable of predicting the World Series and most
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The predictions for yesterday's games were better than they have been. I'd like to suggest that it's because teams are starting to find themselves, but we'll see if that is what happens over the next few
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