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stock-prediction-models

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📊 Predicting stock price direction using Support Vector Machine (SVM), with a focus on both theoretical foundations and practical implementation. Includes evaluation via confusion matrix, classification report, and heatmap visualization.

  • Updated Jul 3, 2025
  • Jupyter Notebook

This repository focuses on building Time Series Model (Recurrent Neural Network- LSTM) to predict the stock price of the Apple.Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems that involves time series related events

  • Updated Aug 2, 2020
  • Jupyter Notebook

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