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Built a predictive model based on LSTM neural networks to forecast stock prices for major tech companies based on historical data.

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Stock price prediction using LSTM

Built a predictive model based on LSTM neural networks to forecast stock prices for major tech companies (Apple, Google, Microsoft, Amazon, Tesla) based on historical data.

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Collected and processed over 5 years of daily stock data (~6,300 records per company) using the Yahoo Finance API and performed data cleaning and feature engineering for time-series analysis.

Evaluated model performance using metrics such as Mean Squared Error (MSE) and conducted back testing to validate the model's predictive capabilities.

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Built a predictive model based on LSTM neural networks to forecast stock prices for major tech companies based on historical data.

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