Basketball Shooting Machine Learning 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! Cross-Validation get nearly 85% accuarcy PCA visualization of training data Usage python train.py