Code for Random Forest Medium blog post

nycTaxi_rf_baseline.py

import pandas as pd
from sklearn.ensemble import RandomForestRegressor

n = 100   # use every 100th row
df = pd.read_csv('{PATH_TO_DATA}train.csv', skiprows=lambda i: i % n != 0)

m = RandomForestRegressor()   # instantiate the RandomForestRegressor objects
m.fit(X_train, y_train)   # train the model
m.score(X_valid, y_valid)   # score it on your validation set