Introduction to Random Forests

Let's load the data into a Pandas dataframe using urlopen from the urllib.request Instead of downloading a csv, I grabbed the data straight from the UCI Machine Learning Database using an http request, a method inspired by Python tutorials from the University of California, Santa Barbara's data science course. I recommend that you keep a static file for your data set as well. Now, create a list with the appropriate names and set them as the data frame's column names. You'll need to do some minor cleaning, such as setting the id_number to the data frame index and converting the diagnosis to the standard binary 1, 0 representation using the map() function.