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@article{177370,
        author = {Vaibhav Maan and Vikrant Tomar and Yash Sharma and Utkarsh Rana},
        title = {Stock Price Prediction by Using Machine Learning Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2035-2038},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177370},
        abstract = {In this research paper, we will see the application of machine learning techniques for predicting stock prices. Here we will use the one-week historical data of Microsoft company. We will test and train that data by using different algorithms of machine learning. Such algorithm will include LSTM or Long Short Term Memory, RNN or Recurrent Neural Network and Linear Regression. We are using LSTM here as its MSE is 0.0005 which is better than other algorithms. Our task is to predict future stock price and predicting future stock price is very challenging process. So, our research paper will show the potential of machine learning by predicting stock prices.},
        keywords = {Machine Learning, Recurrent Neural Network, LSTM, Linear Regression},
        month = {May},
        }