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.
python data-science machine-learning numpy data-visualization lstm-model data-analysis matplotlib model-building machine-learning-models model-training lstm-neural-network stock-forecasting future-prediction google-stocks google-stock-price-prediction google-dataset
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Updated
Oct 30, 2024 - Jupyter Notebook