Stock_DataAnalysis

Collected Starbucks stock data history and trained the dataset with the help of sklearn and other libraries Used algorithm: Linear regression to calculate the trend and predict future revenue.

Name		Name	Last commit message	Last commit date
Maindata.ipynb		Maindata.ipynb
README.md		README.md
Starbucks_stock_action.csv		Starbucks_stock_action.csv
Starbucks_stock_history.csv		Starbucks_stock_history.csv
Starbucks_stock_info.csv		Starbucks_stock_info.csv
test.ipynb		test.ipynb
test1.ipynb		test1.ipynb

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Stock_DataAnalysis

Mean Absolute Error: 0.09827745312991602

Mean Squared Error: 0.043248430217224895

Root Mean Squared Error: 0.20796256926962817

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Stock_DataAnalysis

Mean Absolute Error: 0.09827745312991602

Mean Squared Error: 0.043248430217224895

Root Mean Squared Error: 0.20796256926962817

Graph plots

Scatter plot

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