Apple stock forecast is given as an example here. I repeated the same modeling and testing procedures for all other companies.
Final project is a research paper based on my multi-sector forecasting results.
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● Retrieved companies' stock data ● Applied time series analysis with Python (numpy, pandas, scikit-learn, matplotlib) : fitted ARIMA and SARIMA models on training data ● Implemented the machine learning models XGBClassifier and SVC on the stocks data in comparison to logistic regression model
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RichardLu2001/Multi-Sector-Stock-Forecast
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● Retrieved companies' stock data ● Applied time series analysis with Python (numpy, pandas, scikit-learn, matplotlib) : fitted ARIMA and SARIMA models on training data ● Implemented the machine learning models XGBClassifier and SVC on the stocks data in comparison to logistic regression model
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