Build a simple GAN model in tensorflow to fill some missing data

Hi, How large is the data set ? I would like to see the survey respondents data set first. Are you comfortable with Python Code with Tensorflow Framework? If yes then we should discuss further get it finished ASAP. I am waiting for your reply. Best Regards Trinnovation Inc.

Hello, ‌Hope you doing well.I have checked all your requirements and we able to do this and deliver in time.I have 5 years of experience in these types of work. So, I believe we can do that work with your support. ‌Regards

Hi, We have team of ACM-ICPC Finalists and Competitive Programmers and have stronghold on Computer Vision, NLP and Optimization algorithms. We can guarantee you the project completion after discussing details about the project. If you are interested, Shall We discuss details about the project? About Us: Competition Expert on Kaggle Competition Expert on Codeforces ACM-ICPC Regional Rank - 32 Winner of more than 10 Programming & Data Science based contests. We have started working on freelancer recently but we are already providing our services to our clients based in USA, UK, India, UAE, KSA. We assure you a 100% quality work, Please feel free to connect on private chat. Regards, BellaMenteInc

Hello, My total experience is 6.8 years in Predictive modeling Statistical Analysis, Optimization and Machine learning techniques. I have implemented data science solutions for the Digital marketing & advertising, Telecom and Insurance Industries. I am equally comfortable in using a Domain Specific Language like R & Python and statistical tools like SAS, SPSS & EViews. Being excellent in communication, articulate and personable with a talent of relating easily to diverse group of individuals Experience as Data Scientist Interacting with stakeholders throughout the organization to understand the challenges and design business solutions for the same End to end project execution starting from data exploration to insight generation and recommendations Device predictive and descriptive analysis techniques and machine learning algorithms in various projects Coordinate with different functional teams to implement models and monitor outcomes. A drive to learn and master new technologies and techniques. Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees and text mining, text classification models and Neural Network Querying databases and using statistical computer languages: R, Python and SQL Visualizing/presenting Analysis/Insights/results to business Masters in Statistics –