Developed a stock price prediction project that involves estimating future stock prices based on historical data using Jupyter Notebook via Anaconda environment. It applies data science techniques to deploy predictive models and demonstrates the practical application in solving real-world problems in domains like Financial Technology and Algorithmic Trading.
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