Machine-Learning-in-NBA

Fan-map plotting

• Obtain the game data in 2000~2017 in NBA
• Obtain the follwers of 2015~2017 NBA rookies by twittR package
• Obtain location information and plot the fan-map by Tableau

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Machine learning apply

all-star players in 2017 prediction

• PCA 主成份分析 in all-star player prediction
• Keras是一个高层神经网络API，Keras由纯Python编写而成并基Tensorflow后端
• All-star players in 2017 prediction
• Tensorboard is used to compare and choose better model.

Best rookies in 2017 prediction

• PCA 主成份分析 in best rookies prediction
• Keras是一个高层神经网络API，Keras由纯Python编写而成并基Tensorflow后端
• Best rookies in 2017 prediction
• First and Second rookies in 2017 prediction Muti-classes classification application
• Tensorboard is used to compare and choose better model.

Potential all-star players in 2015~16 prediction

• PCA 主成份分析 in potential rookies prediction
• Keras是一个高层神经网络API，Keras由纯Python编写而成并基Tensorflow后端
• Potential rookies in 2015~16 prediction
• Tensorboard is used to compare and choose better model.

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Result

Website: 2017 NBA ALL-STAR AND BEST ROOKIES PREDICTION WITH FAN-MAP

example:

• Neural network model

• 2D PCA (linear unseparable)

• Tensorboard check