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Using 6-Axis data + PCA + SVM -> predict shooting result

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ss87021456/Basketball_Shooting_Machine_Learning

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Using 6-Axis data from hand-back to predict your shooting result

Dependencies:

python 2.7
numpy
sklearn

Training dataset:

Features.csv
Labels.csv

Algorithm

Collect 6-Axis data (Gyo-xyz,Acc-xyz) --> Pre-processing --> PCA --> SVM --> Prediction!imageCross-Validation get nearly 85% accuarcy

PCA visualization of training data

image

Usage

python train.pyimage

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Using 6-Axis data + PCA + SVM -> predict shooting result

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