Recurrent Neural Networks represent one of the most advanced algorithms that exist in the world of supervised deep learning.
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
Recurrent Neural Network(LSTM) with Keras Framework In this project using recurrent neural network,Google opening stock price for month January(2017) is predicted. Last 5 year's data of Google stock price is used for analysis.
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