Python Stock Market Prediction with LSTM Neural Network Guided Project Part 1, Level 1, 18 min

In this Python deep learning project, we set up our LSTM neural network with Tensorflow in an attempt to get rich and predict the stock market. In this project, we use the MACD and RSI indicators as our features to predict today's closing value. The LSTM is a recurrent layer and either the SimpleRNN or GRU can be used in its place. This is a great place to experiment with how different recurrent layers impact the predictions of GOOG stock price available at Kaggle.

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