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autoregressive-integrated-moving-average-arima

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labrijisaad / Prediction-du-cours-de-Bourse

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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.

python machine-learning linear-regression exploratory-data-analysis data-visualization data-preparation stock-price-forecasting time-series-analysis model-development pandas-ta apple-inc-aapl model-performance-comparison long-short-term-memory-lstm support-vector-machines-svm autoregressive-integrated-moving-average-arima
  • Updated Dec 20, 2022
  • Jupyter Notebook

AloRay / GAS-PRICE-FORECASTING

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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

linear-regression bilinear-interpolation mean-square-error mean-absolute-error root-mean-square-error autoregressive-integrated-moving-average-arima
  • Updated May 12, 2024
  • Jupyter Notebook

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