Stock Price prediction using deep learning techniques.
The goal of this project is to perform stock price prediction using deep learning techniques. A stock price is a sequential data and thus a simple feed-forward network may not be appropriate foir this task. We will need to use models that operate with input data that acts as a sequence. Hence, RNNs and its variants are used.
To run the code, directly open the colab notebook and run it. There is an .ipynb file and everything including data extraction can be done using it. We have also added code.py file which consists of the same code.
- Teja Bale 200050020
- Guduru Manoj 200050044
- Janaki Ram 200050112
- Vavilapalli Sainath 200050125
- This project was based on this tutorial.
- Many thanks to Sainath Vavilapalli