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reliance

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The process involves collecting historical stock price data, cleaning and preprocessing the data, building and training the prediction model, and then evaluating its performance. Python libraries such as pandas , scikit-learn for machine learning models, and TensorFlow or Keras for neural networks can be used for implementation.

  • Updated Sep 9, 2024
  • Jupyter Notebook

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