MastersDissertation
Stock Market Trend Prediction Project
An experimental project comparing different machine learning algorithms and ensemble methods for predicting stock market trends.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.
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Language: Jupyter Notebook
last commit: about 4 years ago
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