Analyze Basketball Statistics
$30-250 USD
着払い
I'm looking for a predictive model for individual player performance in basketball. I will provide a dataset (attached) consisting of player performance (minutes, points, field goals, three pointers, free throws, rebounds, steals, blocks) on the player-game level for several years of a particular league. The data also includes the date of the game, home/away, opponent, and the player's position.
For a high-quality, successful analysis, I am flexible as to the budget. You must be able to explain your methods and provide Python code to implement it.
The purpose of the project is to predict the column pts1 which for each player-game satisfies the equation pts1 = 3*tpm + 2*fgm + ftm + 1.2*reb + 1.5*ass + 2*blk + 2*stl - to
I've made the data available here as an attachment. Take a shot at it and let me know if you are successful in predicting pts1. I'll be willing to pay for good results.
I'm looking for a predictive model for individual player performance in basketball. Attached you will find a dataset consisting of player performance (minutes, points, field goals, three pointers, free throws, rebounds, steals, blocks) on the player-game level for several years of a particular league. The data also includes the date of the game, home/away, opponent, and the player's position.
For a high-quality, successful analysis, I am flexible as to the budget. You must be able to explain your methods and provide Python code to implement them.
The purpose of the project is to predict the column pts1 which for each player-game satisfies the equation pts1 = 3*tpm + 2*fgm + ftm + 1.2*reb + 1.5*ass + 2*blk + 2*stl - to.
The goal is to predict a player's pts1 in the next game so you can only use data available prior to that game. For example, if you want to use regression, you might use each player's average pts1. However you can only use the average up to (and not including) the date of the game. So effectively every player has an average pts1 for every date in the dataset.
For prediction the date, home/away, opponent, and position columns will be available but none of the others. For this prediction model it does not make sense to use data on tpm, fgm, etc for the same date. The goal is to predict the aggregate of these in the form pts1 = 3*tpm + 2*fgm + ftm + 1.2*reb + 1.5*ass + 2*blk + 2*stl - to.
Take a shot at it and let me know if you are successful in predicting pts1. I'll be willing to pay for good results.
where
tpm = three pointers made
fgm = field goals made
ftm = free throws made
reb = rebounds
ass = assists
blk = blocks
stl = steals
to = turnovers
プロジェクトID: #8130786
プロジェクトについて
20人のフリーランサーが、平均$369 で、この仕事に入札しています。
As a Post Graduate in Statistics and graduate in mathematics, i have a lot of experience in handling statistical data, especially in Time Series Modelling & Forecasting, Regression analysis,correlation , ANOVA, statist もっと
I will help you with this predictive model. Contact and discuss, thanks Regards Ali ==================================================== ===================================================
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