Hi Friends - I’m wondering how to go about creating neural networks for data based problems. I was trying my hands on with a house price prediction problem. I tried a simple, as well as few layered networks(took example from a kaggle competition kernel), but the training accuracy never gets past 1%. So I think am doing something terribly wrong. I would like to get some suggestions on how to approach these kind of problems.
Here is the github link for the notebook and data. - https://github.com/iosnewbie2016/housepricepredict
Can someone pls guide me on this. Help is much appreciated.