Predictive Stock Market Model
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Predictive Stock Market Model
Created a machine learning model to predict stock prices with 80% short-term accuracy.
Isha Sharma
Tech-savvy student exploring new innovations | Engineering Student
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Project Overview
I undertook a personal research project, Isha Sharma explored the power of artificial intelligence by creating a predictive model to forecast stock prices. Using historical stock data, she trained multiple machine learning algorithms such as Random Forest and LSTM networks to identify patterns and project future market trends. The model I was evaluated for accuracy against real-time stock data from January to March 2023, achieving over 80% precision on short-term predictions. This project not only deepened her knowledge in data preprocessing and model evaluation but also sparked her interest in financial analytics and fintech applications. The work combined technical rigor with practical application, showcasing her ability to convert theoretical concepts into impactful solutions. It stands out as an excellent early demonstration of her technical potential.
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