MSFT Stock Price Prediction
Deep Learning
About The Project
This project aims to predict Microsoft (MSFT) stock prices using the Long Short-Term Memory (LSTM) model, a Recurrent Neural Network (RNN) architecture highly effective for handling and forecasting time series data.
Tools & Libraries : Python, Streamlit, VSCode, Numpy, Pandas, Scikit-Learn, Tensorflow, Matplotlib, Joblib, Os, Plotly, PIL.
Achievements
Successfully built and deployed an LSTM model to predict Microsoft (MSFT) stock prices using historical time series data. The project included data collection, preprocessing, model training, and evaluation, and was deployed using Streamlit with complete documentation on GitHub.
Links
azzriala@gmail.com
+6287872788220
