https://github.com/ot-code/coca-cola-stock-prediction
This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
https://github.com/ot-code/coca-cola-stock-prediction
arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost
Last synced: about 2 months ago
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This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
- Host: GitHub
- URL: https://github.com/ot-code/coca-cola-stock-prediction
- Owner: ot-code
- Created: 2025-03-27T07:24:29.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-27T08:55:36.000Z (about 2 months ago)
- Last Synced: 2025-03-27T09:38:46.321Z (about 2 months ago)
- Topics: arima, csv, linear-regression, lstm-neural-networks, mae, matplotlib, mse, numpy, pandas, python, r2, scikit-learn, seaborn, tensorflow-keras, xgboost
- Language: Python
- Homepage:
- Size: 57.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0