Up until now, in my ML real estate project, I gathered data for 100 apartments. I collected the price and the size, and I allocated 70 percent of the data for training and the remaining 30 percent for testing (prediction).
I know it's still not enough data, but compared to my last update on the project, it's looking better. The model is predicting the prices more accurately. I believe this improvement is mainly due to adding more data. That's it for now—you can see the results in the two pictures. I will add more data and parameters along the way.
Have a great day!
Guy