In our past machine learning topic, “Ensemble Modeling“, we mentioned how blending helps on improving our prediction. Then in another topic, “Why are people frustrated on Kaggle’s challenge?“, we mentioned how blending ruins a data science competition. Okay, we have a question here, is blending good or bad?
You have probably read the above comic in 9gag or imgur before. It is a funny joke, but on the other hand, it is also a material for our Machine Learning topic. It sounds weird? Oh yeah, sometimes knowledge comes from strange ideas.
When I have a data project in mind and have no idea on where to start modeling, I will always use the Random Forest model. It is not because of its catchy name and the fact that I always misspell it as Rain Forest, it is quick, convenient, easy to understand and, it provides decent …
Previously on CodeAStar: The data alchemist wannabe opened the first door to “the room for improvement”, where he made better prediction potions. His hunger for the ultimate potions became more and more. He then discovered another door inside the room. The label on the door said, “Ensemble Modeling”. This is our last chapter on the …
To win big in real estate market using data science – Part 3: Ensemble Modeling Read More »
