January 2019
Beginner to intermediate
336 pages
7h 58m
English
We start by importing the remaining libraries we need:
import osimport numpy as npimport pandas as pdimport itertoolsimport warningsimport stringimport matplotlib.pyplot as pltfrom nltk.corpus import stopwordsfrom nltk.stem import WordNetLemmatizerfrom sklearn.feature_extraction.text import CountVectorizerfrom sklearn.feature_extraction.text import TfidfVectorizerfrom sklearn.model_selection import train_test_splitfrom sklearn.naive_bayes import MultinomialNBfrom sklearn.metrics import confusion_matrixfrom sklearn.model_selection import GridSearchCVfrom sklearn.ensemble import RandomForestClassifierfrom sklearn.metrics import classification_reportfrom sklearn.metrics import roc_auc_score as ...