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autoregressive-integrated-moving-average-arima

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Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

  • Updated Dec 20, 2022
  • Jupyter Notebook

This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies

  • Updated May 12, 2024
  • Jupyter Notebook

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