I am trying to build a ML model using tensorflow for house price prediction. I tried using simple ANN however losses are too high and model is not working right. I am bit new to ML so not sure if i am using right approach to solve this problem.
Here is how my data looks like. One of the pivoting parameter is no-of-years-old indicates how old the property is. Do i need to use LSTM/time series forecasting for correctly estimating price of property.
type-of-property | no-of-years-old | condition | price |
---|---|---|---|
condo | 5 | Good | 150K |
condo | 6 | Good | 140K |
condo | 7 | Good | 130K |
condo | 5 | BAD | 140K |
condo | 6 | BAD | 120K |