Research Lifecycle Management technologies for Earth Science Communities and Copernicus users in EOSC

This consist of my version of reviewing Reliance Stock Data From 2000-2020

The product aims to provide customers with a seamless and enjoyable online shopping experience. The website will feature a wide range of products, including shoes, sandals, sneakers, electronics, and more.

The process involves collecting historical stock price data, cleaning and preprocessing the data, building and training the prediction model, and then evaluating its performance. Python libraries such as pandas , scikit-learn for machine learning models, and TensorFlow or Keras for neural networks can be used for implementation.

Utility to validate all of the values in an import spreadsheet before attempting to import the data into ETQ Reliance.

This repository contains the time series forecasting and analysis of stock market prices of different companies.

Various scripts that have been helpful in supporting the ETQ Reliance Quality Management System.

Ecommerce using React frontend

Utility for converting documents and spreadsheets into a new template format.

Reliance Thermal printer API for flash updates, image printing, and configuration

Official Reliance Thermal Printer ESC/POS Command Set Documentation

Implemented LSTM model to predict Reliance stock prices, achieving accurate forecasts for 10 days.