GitHub - Shakti33/Stock-Trading: Prepare an agent by implementing Deep Q-Learning that can perform unsupervised trading in stock trade. The aim of this project is to train an agent that uses Q-learning and neural networks to predict the profit or loss by building a model and implementing it on a dataset that is available for evaluation.

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Prepare an agent by implementing Deep Q-Learning that can perform unsupervised trading in stock trade. The aim of this project is to train an agent that uses Q-learning and neural networks to predict the profit or loss by building a model and implementing it on a dataset that is available for evaluation.

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Name		Name	Last commit message	Last commit date
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model_ep0		model_ep0
model_ep1		model_ep1
model_ep10		model_ep10
model_ep2		model_ep2
model_ep3		model_ep3
model_ep4		model_ep4
model_ep5		model_ep5
model_ep6		model_ep6
model_ep7		model_ep7
model_ep8		model_ep8
model_ep9		model_ep9
GSPC_Evaluation_Dataset.csv		GSPC_Evaluation_Dataset.csv
GSPC_Training_Dataset.csv		GSPC_Training_Dataset.csv
Problem_Statement_Dependency_Deep Q Learning Stock Trading - Jupyter Notebook.pdf		Problem_Statement_Dependency_Deep Q Learning Stock Trading - Jupyter Notebook.pdf
Problem_Statement_Dependency_Deep Q Learning Stock Trading.ipynb		Problem_Statement_Dependency_Deep Q Learning Stock Trading.ipynb
Project Description.docx		Project Description.docx