GitHub - aledala/Stock-Market-Prediction-using-Machine-Learning-Models: We explore how different machine learning techniques can be leveraged to pick stocks that can be sold for profit. Studying and analyzing past data and using it to make predictions will help investors make informed decisions about buying or selling stocks thus giving them an edge in the market.

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We explore how different machine learning techniques can be leveraged to pick stocks that can be sold for profit. Studying and analyzing past data and using it to make predictions will help investors make informed decisions about buying or selling stocks thus giving them an edge in the market.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Single Stock Classification and Incremental Learning.ipynb		Single Stock Classification and Incremental Learning.ipynb
Stock Analysis.ipynb		Stock Analysis.ipynb
Survey of Machine Learning Techniques for Stock Market Pattern Detection and Prediction (1).pdf		Survey of Machine Learning Techniques for Stock Market Pattern Detection and Prediction (1).pdf
all_stocks_5yr.zip		all_stocks_5yr.zip
lstmregression.ipynb		lstmregression.ipynb
xgboost.ipynb		xgboost.ipynb