Write GAN based program for synthetic data generation
Budget: ₹1,500 – ₹12,500 INR
Write a python program using pytorch to generate tabular synthetic data which is similar in distribution to the original data.
Appropriate GAN based methodology shall be used. Conditional WGAN-Gradient penalty or more superior/ advanced methodology is suggested to be used.
Any popular publicly available dataset such as "adult" dataset can be used for the program.
The synthetic data so generated shall be used to train some AI/ ML model. The accuracy of the AI/ ML model trained using synthetic data and tested against original data shall be similar or very close to the accuracy of the AI/ ML model which is trained using original data
Appropriate GAN based methodology shall be used. Conditional WGAN-Gradient penalty or more superior/ advanced methodology is suggested to be used.
Any popular publicly available dataset such as "adult" dataset can be used for the program.
The synthetic data so generated shall be used to train some AI/ ML model. The accuracy of the AI/ ML model trained using synthetic data and tested against original data shall be similar or very close to the accuracy of the AI/ ML model which is trained using original data