Josh Hermsmeyer

Air yards, Numbers Game, and predictive modeling.

Author Archive

In-Season Articles

In-Season Articles

Week 4 Air Yards Buy Low Receivers

Each week I break out air yards data to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

Week 3 Air Yards Buy Low Receivers

Each week I break out air yards data to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

Week 2 Air Yards Buy Low WRs

Each week I break out air yards data to attempt to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

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.((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…...

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.((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…...

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.((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…...

Week 4 Air Yards Buy Low Receivers

Each week I break out air yards data to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

Week 3 Air Yards Buy Low Receivers

Each week I break out air yards data to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

Week 2 Air Yards Buy Low WRs

Each week I break out air yards data to attempt to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

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.((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…...

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.((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…...

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.((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…...

Week 4 Air Yards Buy Low Receivers

Each week I break out air yards data to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

Week 3 Air Yards Buy Low Receivers

Each week I break out air yards data to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

Week 2 Air Yards Buy Low WRs

Each week I break out air yards data to attempt to find the wide receivers that stand the best chance to see an increase in their fantasy production…....

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.((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…...

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.((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…...

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.((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…...

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