ShriGB, as the name goes, is about extracting valuable insights (“Shri” – respect) from large/big data (“GB”) . The project is aimed to leverage semantic web & big data technologies to extract meaningful insights from unstructured financial data lying across the web. The data is mostly present in raw form and is useful to some sections of society although, can be used by different section of people for different reasons.
Lets take a look at following example:
Dabur to set up manufacturing units in Uttaranchal
The above data can mean some of the following:
However, the data is not currently presented in the form & structure (linked) which can be easily consumed by above mentioned section of society.
This is where ShriGB comes into picture. At present, ShriGB is doing following:
Last updated: 3rd May, 2024 Have you ever wondered why some machine learning models perform…
Last updated: 2nd May, 2024 The success of machine learning models often depends on the…
When working on a machine learning project, one of the key challenges faced by data…
Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…
Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…
Last updated: 1st May, 2024 In this post, you will learn the concepts related to…