Vedanta stock price prediction using LSTM
Namaste,
In this application, I have created a Deep learning model to predict the stock prices of the Indian listed company Vedanta Ltd. I have used LSTM to make the model. The data-set was collected from Yahoo Finance and is uploaded on my Kaggle account at :- https://www.kaggle.com/datasets/venubanaras/vedanta-nse-price-history
To create a CSV file using Yahoo Finance, simply go to the website, enter the stock name, select historical data , select the time period (I selected MAX, corresponding to the company’s listing date), select historical prices and the frequency (i.e. daily, weekly or monthly) and then download. It will automatically create a .csv file for you to work upon.
The main purpose of this app was to create a deployment of a DL app and the second purpose was to learn Time Series forecasting and also to learn creating datasets for DL projects. I have used TensorFlow to create the models and Flask to create a deployment version for the same. The detailed explanation for the code is in the files itself.
Check out the full code here
To check out my notebook at Kaggle follow :- https://www.kaggle.com/code/venubanaras/vedanta-full-pred
Do follow me on Kaggle and give up-votes to the data-set and the notebook, if you like them.
Until next time…
