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This project aims to predict stock prices using machine learning algorithms. By leveraging historical stock data and various features, we train predictive models to forecast future price movements. The goal is to provide users with actionable insights for making informed investment decisions
The problem we are targeting here is to predict the future value of S&P500 given the past values. The key is to predict the value faster with increased accuracy in comparison to classical techniques. Here we used techniques in deep learning called Long-Short Term Memory(LSTM) that is used to learning the pattern occurring in temporal data. This …
Welcome to my Lets Grow More internship project repository! Explore a collection of data science and business analytics projects showcasing my skills in predictive modeling, classification, and forecasting. Each project features a detailed Jupyter Notebook with code and visualizations. Join me on this data-driven journey!