Contributors
Project Overview:
The Main Objective :
Since there is a lack of open datasets in the telecom domain, we don't obtain large datasets especially for performing machine learning projects. Hence we are aiming to deliver synthetic data to the virtual domain so that the researchers and also telecom companies can use this synthetic data for their experiments.
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In the world of information technology, companies use data to improve the customer experience and provide better services to their customers. Sometimes, the collection of data can be tedious and costly.
Currently, GANs is are popularly applied to generate image data, but very few works are done on the tabular data. One of the reasons is non-image synthetic data is difficult to evaluate quality. In this work, we are trying to generate synthetic data from scratch.
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In order to generate synthetic data, we are considering deep learning technique techniques such as GANs.
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THIS FIGURE REPRESENTS THE BASIC ARCHITECTURE OF GANs
THIS FIGURE REPRESENTS THE EXACT FLOW OF OUR MODEL
THIS FIGURE EXPLAINS THE EXACT FLOW OF OUR MODEL
THIS FIGURE REPRESENTS THE REAL DATASET USED IN OUR MODEL
THIS FIGURE REPRESENTS THE GENERATED DATASET
THIS FIGURE REPRESENTS THE FINAL RESULTS OF OUR MODEL
Volunteers
Hemashree Hemashree R
Vidhyashree Vidyashree K S
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