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Coca Cola Stock Price Prediction using LSTM, SVR, SGD, Decision Tree Regressor And Random Forest
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NYSE/Coca Cola Stock Analysis/Dataset/COCO COLA.csv
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NYSE/Coca Cola Stock Analysis/Model/Coca_Cola_Stock_Analysis.ipynb
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**Requirements For Project :-** | ||
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1. NumPy: Fundamental package for numerical computing. | ||
2. pandas: Data analysis and manipulation library. | ||
3. scikit-learn: Machine learning library for classification, regression, and clustering. | ||
4. Matplotlib: Plotting library for creating visualizations. | ||
5. Keras: High-level neural networks API, typically used with TensorFlow backend. | ||
6. seaborn: Statistical data visualization library based on Matplotlib. |