Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Startup.
your model depends on the problem and the value you wish to predict. Let’s assume you want to predict a house price based on different properties. So in this case, each row in your dataset should (for example) consist of: features: house size, the number of rooms, floor, whether elevator exists,