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virajbhutada / google-stock-price-forecasting-lstm

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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
  • Updated Oct 30, 2024
  • Jupyter Notebook

Nilsexe / google-stock-price-forecasting-lstm

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📈 Forecast Google stock prices using LSTM for accurate time-series predictions with a deep learning approach. Enhance your trading strategies efficiently.

deep-neural-networks tensorflow numpy keras data-visualization recurrent-neural-networks rnn lstm-model arima lstm-neural-networks model-building model-comparison model-training lstm-neural-network time-series-forecasting github-config stock-forecasting google-dataset
  • Updated Jan 30, 2026
  • Jupyter Notebook

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