14 күн бұрын
14 күн бұрын
21 күн бұрын
28 күн бұрын
Ай бұрын
2 ай бұрын
2 ай бұрын
2 ай бұрын
2 ай бұрын
2 ай бұрын
2 ай бұрын
3 ай бұрын
3 ай бұрын
3 ай бұрын
Пікірлер
@rayaany.4069 Жыл бұрын
THE PROFESSOR 🔥 🔥 🔥
@fantasyfootball_professorf1118 Жыл бұрын
Thanks for the good comment. Let's crush this week!
@thisisgunnabeachannel362 Жыл бұрын
KC is very interesting it must be lots of chunk plays or lots of sub packages on offense...so basically still not good for fantasy and correlates with the "bad" teams of the group
@fantasyfootball_professorf1118 Жыл бұрын
Clearly KC is different. Looking forward to observing if this holds up over the season. Thanks for the comment!
@thisisgunnabeachannel362 Жыл бұрын
Love your work!
@fantasyfootball_professorf1118 Жыл бұрын
Glad you enjoy it! Nice to get some feedback. I hope this inspires your learning and desire to do your own research. Let's Crush this year!
@johnjames4206 Жыл бұрын
Hello. Wanted to inform you that there is no audio in the video, in case there was suppose to be.
@johnbush9999 Жыл бұрын
Thanks thanks. I will try to voice over if I can. If you would like to discuss any aspects I am game. Love to get any critical feedback. Be glad to help you in any other questions.
@thisisgunnabeachannel362 3 жыл бұрын
Very nice work
@jcasper1535 3 жыл бұрын
I like the preachy
@Meowest21 3 жыл бұрын
How do I get these numbers? This is very cool!
@fantasyfootball_professorf1118 3 жыл бұрын
Hello. I have a mathematical conversion from ADPs to Rankings and to achieve uncertainty levels. Remember this is based on FFPC PRO Averages from this part of the preseason. It will change. I use as a "yardstick" for my thinking only. Kind of like using Vegas odds etc. as a starting point for your deeper analysis. Good Luck!
@fantasyfootball_professorf1118 3 жыл бұрын
Ok I re-read the question. You want to know the Black Box I developed. Hum? Let me consider. Once the genie is out of the bottle its gone!
@cjp5160 3 жыл бұрын
Hey, love the material so far, but I'm intrigued to how you have approached the initial determination of the "variable" quantity (I'm curious why you call it a variable instead of a weighting factor as the variable statement suggests the value shall change in relation to the perceived outcome, which maybe a further video covers on minimum error marginalization limits, jumping ahead...) such as the 0.975 for completions. Did you determine this based on an inverse margin of error for career season completions vs season fantasy points, and if so, what determination for the scope of years/players did you limit as parameters? My second question is, what regression model would you use for optimizing these variables, lets say if you determined the "passing factor" weight is slightly under or overperforming vs the other RCs?
@fantasyfootball_professorf1118 3 жыл бұрын
Hello Christopher Payne. First, thanks for your comments. I used PCA to reduce the complexity of data. It detects linear combinations of the input fields that can best capture the entire set of fields' variance. The components are orthogonal to and not correlated with each other. The goal is to find a small number of derived fields (principal components) that effectively summarize the original input fields' information. I am an applied guy, as most biologists are. We use tools to address questions. If you are curious, I use JASP ( jasp-stats.org/ ) as a PCA program and other things, so what you see is their output. JASP defines each input as a variable to find the PCAs. PCA is really prep for serious regression. Think of it as a triage on your data sets. Then based on the PCA, you apply other techniques (Beyond Me :) ) KEY Takehome is the idea of PCA is simple - reduce the number of variables of a data set, while preserving as much information as possible. We have arrived at the "end of my fingertip knowledge". I use the PCA to cut down my efforts to describe the past player performances. Fewer variables mean less time for analysis? I hope! Hehe. I have not done multiple or logistic regressions using these PCA. I think there are more aspects to be judged before regression analysis. Good Luck
@cjp5160 3 жыл бұрын
Thank you for the response! I look forward to the coming episodes, but I appreciate the in depth analysis