Edit README

Signed-off-by: Aadhitya A <aadhitya864@gmail.com>

README.md

@@ -3,14 +3,15 @@
 ![License](https://img.shields.io/github/license/Circle-1/Stock-X)
 ![Stars](https://img.shields.io/github/stars/Circle-1/Stock-X)
 ![Release](https://img.shields.io/github/v/release/Circle-1/Stock-X)
+[![Heroku](https://img.shields.io/badge/Heroku-Active-blue?logo=heroku)](https://stock-x-proj.herokuapp.com/)
 
 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](https://www.kaggle.com/)
 
-Notebook link: [Click here](https://www.kaggle.com/aadhityaa/stock-cnn-lstm)
+Notebook link for CNN-LSTM: [Click here](https://www.kaggle.com/aadhityaa/stock-cnn-lstm)
 
 Docker Image link (contains bundled libraries): [Click here](https://hub.docker.com/r/aerox86/stock-x) ![Size](https://img.shields.io/docker/image-size/aerox86/stock-x/latest-stable)
 
@@ -26,7 +27,7 @@ Helm charts: [![Artifact Hub](https://img.shields.io/endpoint?url=https://artifa
 
 ## Neural Network type
 
-Here CNN (with Time Distributed function) and Bi-LSTM combined Neural Network is used to train. Other algorithms like XGBoost, RNN-LSTM, LSTM-GRU are also added for comparison. Here are the links to view the notebooks directly. You can also view the results in the app created using [Mercury](https://mljar.com/mercury/) which is deployed over Heroku (free dyno).
+Here CNN (with Time Distributed function) and Bi-LSTM combined Neural Network is used to train. Other algorithms like XGBoost, RNN-LSTM, LSTM-GRU are also added for comparison. Here are the links to view the notebooks directly. You can also view the results in the app created using [Mercury](https://mljar.com/mercury/) which is deployed over [Heroku (free dyno)](https://stock-x-proj.herokuapp.com/).
 
  - [CNN-LSTM](stock-market-prediction-using-cnn-lstm.ipynb)
  - [LSTM-GRU](lstm_gru_model.ipynb)