Josh Hermsmeyer

Air yards, Numbers Game, and predictive modeling.

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In-Season Articles

In-Season Articles

jordan matthews 2017

2017 Air Yards Projection Countdown | Jordan Matthews – WR 31

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers. Well-validated models are the best and most unbiased forecast of NFL receiver production there is.1 However there are things that they cannot capture that are important to consider. The air yards model combined four separate machine learning models into one ensemble model. The models used included a Bayesian neural net, a nearest neighbors algorithm, a random forest algorithm and a tuned generalized linear model. Preprocessing steps included data normalization (centered and scaled), the elimination of near zero variance predictors, and principal…...

2017 Air Yards Projection Countdown | Mike Wallace – WR 33

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers. Well-validated models are the best and most unbiased forecast of NFL receiver production there is.1 However there are things that they cannot capture that are important to consider. The air yards model combined four separate machine learning models into one ensemble model. The models used included a Bayesian neural net, a nearest neighbors algorithm, a random forest algorithm and a tuned generalized linear model. Preprocessing steps included data normalization (centered and scaled), the elimination of near zero variance predictors, and principal…...

rishard matthews fantasy

2017 Air Yards Projection Countdown | Rishard Matthews – WR 36

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers.1 Well-validated models are the best and most unbiased forecast of NFL receiver production there is. However there are things that they cannot capture that are important to consider. The air yards model combined four separate machine learning models into one ensemble model. The models used included a Bayesian neural net, a nearest neighbors algorithm, a random forest algorithm and a tuned generalized linear model. Preprocessing steps included data normalization (centered and scaled), the elimination of near zero variance predictors, and principal…...

jordan matthews 2017

2017 Air Yards Projection Countdown | Jordan Matthews – WR 31

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers. Well-validated models are the best and most unbiased forecast of NFL receiver production there is.1 However there are things that they cannot capture that are important to consider. The air yards model combined four separate machine learning models into one ensemble model. The models used included a Bayesian neural net, a nearest neighbors algorithm, a random forest algorithm and a tuned generalized linear model. Preprocessing steps included data normalization (centered and scaled), the elimination of near zero variance predictors, and principal…...

2017 Air Yards Projection Countdown | Mike Wallace – WR 33

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers. Well-validated models are the best and most unbiased forecast of NFL receiver production there is.1 However there are things that they cannot capture that are important to consider. The air yards model combined four separate machine learning models into one ensemble model. The models used included a Bayesian neural net, a nearest neighbors algorithm, a random forest algorithm and a tuned generalized linear model. Preprocessing steps included data normalization (centered and scaled), the elimination of near zero variance predictors, and principal…...

rishard matthews fantasy

2017 Air Yards Projection Countdown | Rishard Matthews – WR 36

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers.1 Well-validated models are the best and most unbiased forecast of NFL receiver production there is. However there are things that they cannot capture that are important to consider. The air yards model combined four separate machine learning models into one ensemble model. The models used included a Bayesian neural net, a nearest neighbors algorithm, a random forest algorithm and a tuned generalized linear model. Preprocessing steps included data normalization (centered and scaled), the elimination of near zero variance predictors, and principal…...

jordan matthews 2017

2017 Air Yards Projection Countdown | Jordan Matthews – WR 31

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers. Well-validated models are the best and most unbiased forecast of NFL receiver production there is.1 However there are things that they cannot capture that are important to consider. The air yards…...

2017 Air Yards Projection Countdown | Mike Wallace – WR 33

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers. Well-validated models are the best and most unbiased forecast of NFL receiver production there is.1 However there are things that they cannot capture that are important to consider. The air yards…...

rishard matthews fantasy

2017 Air Yards Projection Countdown | Rishard Matthews – WR 36

Now that the draft is over I’m excited to report that I’ve finished my air yards model for NFL receivers.1 Well-validated models are the best and most unbiased forecast of NFL receiver production there is. However there are things that they cannot capture that are important to consider. The air yards…...

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