lstm_stock_model

Introduction

An attempt on stock prediction using simple lstm model

Data used

Closing price of the stock is used to fit in the model

Train Test Split

80% training : 20% testing is used

Model

LSTM(50, activation='relu', #return_sequences=True, input_shape=(look_back, 1))

Dropout(0.2)

Dense(units=1)

optimizer='adam', loss='mse'

Training details

num_epochs = 25