November 2019
Intermediate to advanced
346 pages
9h 36m
English
The following steps show how ad blocking is implemented using machine learning:
import pandas as pddf = pd.read_csv("ad.data", header=None)df.rename(columns={1558: "label"}, inplace=True)
improper_rows = []for index, row in df.iterrows(): for col in df.columns: val = str(row[col]).strip() if val == "?": improper_rows.append(index)
df = df.drop(df.index[list(set(improper_rows))])