Predicting Daily Fantasy Basketball Scores Using Sequential Deep Learning
Created by: Will Denton, Sri Jaladi
Model Files:
BaselineBasicRNN contains code for the baseline RNN built from scratch
GruRNNModel contains code for the GRU Model
RNNModel contains code for the PyTorch-based RNN Model
NN_LSTM_Models contains 3 MODELS:
Deep Neural Network Model
LSTM Model (End-to-End)
LSTM Model (Stats-Evaluating)
Data Sources/Files:
test_set.npy is a numpy array file that contains the test set we used
Player_csv is a folder containing csvs for stats for all the players