Causal Inference, Machine Learning, Data Science, Python, Deep Learning.
then you need causal inference. In our example, there has not been any type of experiment design; we have just stored the data as we were receiving it. 2. Understand your problem Moving to the second step, if you want to understand what makes people ill, you need to gather all the potential causes