Shypd.aiThe largest open index of AI toolsHow-to-Predict-Stock-Prices-Easily-Demo is an open-source coding project that provides code for predicting stock prices using an LSTM neural network. It serves as an educational resource accompanying a video tutorial by Siraj Raval.
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How-to-Predict-Stock-Prices-Easily-Demo is an open-source project providing Python code for predicting stock prices using a Long Short-Term Memory (LSTM) neural network. This repository accompanies a video tutorial by Siraj Raval, part of the Udacity Deep Learning nanodegree, making it an excellent educational resource for those learning deep learning techniques. The project utilizes popular deep learning libraries Keras and TensorFlow to forecast the closing price of the S&P 500 based on historical data. Users can run the code using Jupyter Notebook, and it includes a coding challenge to extend the prediction model using additional metrics for GOOGL stock. It's designed to help developers and students understand practical applications of deep learning in financial forecasting.
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