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This project is focused on answering “How close can we get in predicting the stock market?”, by utilizing a variety of exploratory techniques and different supervised machine learning algorithms such as: Linear Regression, Random Forest, Support Vector Machine and Gradient Boosting Trees.
ElonaZharri/Stock-Forecasting
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This project is focused on answering “How close can we get in predicting the stock market?”, by utilizing a variety of exploratory techniques and different supervised machine learning algorithms such as: Linear Regression, Random Forest, Support Vector Machine and Gradient Boosting Trees.
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