Build a simple GAN model in tensorflow to fill some missing data -- 2
$30-250 USD
Paid on delivery
I need a toy GAN model for a simple use case: dealing with non-responsive survey respondents. I will give you a large dataset of our app users, with ~ 30 columns of users features. A small fraction of them responded to our survey (~2%) and provided a Yes or No answer. The goal of this project is to fill the Yes/No answers to the remaining 98% non-respondents. Please use Tensorflow as it's our main modeling tool.
Project ID: #24635499
About the project
6 freelancers are bidding on average $228 for this job
Hi, I have previously worked on GAN model for printed shirt-design verification. The aim was to detect if all the requirements of the design are met. In essence, GAN is suitable for faking certain aspects, training two More
Hi, hopefully this proposal finds you in good health. We are a team of Python Developers and have rich experience in Machine Learning and Deep Learning, you can check our reviews. We've strong grip on OpenCV, Keras, More