import numpy as np # linear algebra
import seaborn as sns # data visualization, API
from bs4 import BeautifulSoup as soup # web scraping
Install packages based on requirements.txt using command line
Install requirements
$sudo pip install -r requirements.txt
Other commonly used libraries:
numpy, scipy - for scientific computing, matplotlib,
import os
# import the os module
# "This module provides a portable way of
# using operating system dependent functionality."
Other scikit-learn import statements you might see in the wild:
from sklearn.metrics import roc_auc_score
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.linear_model import LogisticRegression
