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
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.
Result
Website: 2017 NBA ALL-STAR AND BEST ROOKIES PREDICTION WITH FAN-MAP
example:
- Neural network model
- 2D PCA (linear unseparable)
- Tensorboard check
