scikit-learn-random forest

Credits: Forked from PyCon 2015 Scikit-learn Tutorial by Jake VanderPlas

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import seaborn; 
from sklearn.linear_model import LinearRegression
from scipy import stats
import pylab as pl

seaborn.set()

Random Forest Classifier

Random forests are an example of an ensemble learner built on decision trees.
For this reason we'll start by discussing decision trees themselves.

Decision trees are extremely intuitive ways to classify or label objects: you simply ask a series of questions designed to zero-in on the classification: