Adobe-Stock-Forecasting-Deep-Learning

This is a deep learning model that uses historical Adobe (ADBE) stock data to predict future stock prices. This implementation is done using Python with the TensorFlow and Pandas libraries.

Requirements

• numpy
• pandas
• tensorflow
• matplotlib
• pandas-datareader
• yfinance
• scikit-learn

Installation

To install the required libraries run:

pip install numpy pandas tensorflow matplotlib pandas-datareader yfinance scikit-learn

Usage

This model is built using deep learning techniques like Simple RNN, LSTM, GRU, Conv1D, MaxPool1D, and GlobalAvgPool1D. It uses historical stock data to predict future stock prices.

Conclusion

This is a basic implementation of a deep learning model to predict stock prices. It can be improved by using more advanced