Skip to content

Latest commit

 

History

History
21 lines (15 loc) · 922 Bytes

README.md

File metadata and controls

21 lines (15 loc) · 922 Bytes
Raw

Apple Stock Market Prediction Using Python and Deep Neural Networks LSTM

I gathered stock market data from Apple from the very beginning and predicted the possible results for the next week with deep learning techniques. RMSE values turned out to be quite small which is unusual given how volatile stock markets are. Apple's stock data was obtained as data until 2021 and developed using the Python programming language a multi- layered deep learning model with LSTM structure based on old data. The algorithm has successfully predicted the stock market closing prices of the coming days with very small margins of error.

💻 Built with

Technologies used in the project:

  • Python
  • LSTM (Long Short Term Memory)
  • TensorFlow
  • Keras
  • Pandas
  • Numpy
  • Deep Learning
  • Kaggle
  • Prediction
  • Anaconda
  • Jupyter Notebook