From 8f54721bae7bcb2be4b2ab361faeaba4a7cbad8a Mon Sep 17 00:00:00 2001 From: Aadhitya A Date: Sat, 15 Jan 2022 12:38:41 +0530 Subject: [PATCH] Edit README Signed-off-by: Aadhitya A --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e5f3742..3d73afa 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ ![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 @@ -10,7 +11,7 @@ Note: The notebook used here (IPYNB) is made using Kaggle, a data-science and ML 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)