aerox86/stock-x repository overview

⁠Stock-X

This project is all about analysis of Stock Market and providing suggestions to stockholders to invest in right company

Note: The notebook used here (IPYNB) is made using Kaggle, a data-science and ML community website which provides free Jupyter Notebook environment to work on programs and GPUs and TPUs to work on Neural Networks easily.

Here's the ref link to Kaggle⁠

Notebook link: Click here⁠

Docker Image link (contains bundled libraries): Click here⁠

Helm charts:

⁠Libraries used:

- Tensorflow
- Keras
- Pandas
- Scikit-learn
- Matplotlib
- Seaborn

⁠Neural Network type

Here CNN (with Time Distributed function) and Bi-LSTM combined Neural Network is used to train.