rishiiiiiiiiiiiiiiiiiiiiiiiii/Time-Series-Modeling-and-Prediction-of-Microsoft-Stock-Prices-Using-ARIMA

Utilized Microsoft stock data, employing techniques such as seasonal decomposition, stationary testing, and log transformations & Conducted data analysis, trend identification, and seasonality assessment, optimizing the model configuration using auto-ARIMA and achieving accurate fitting over a 6-year period.

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