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