Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Oppiskele Data Preprocessing | Identifying Fake News
Identifying Fake News
course content

Kurssisisältö

Identifying Fake News

book
Data Preprocessing

As a mandatory step in our analysis, we must preprocess our data. Data preprocessing is the process of cleaning, transforming, and organizing the data to make it more suitable for analysis and modeling. This typically involves several steps, such as the following:

  • removing missing or duplicate values;

  • correcting inconsistencies;

  • transforming the data into a format that is easier to manage.

Tehtävä

Swipe to start coding

  1. Remove unnecessary columns (for our further analysis): 'title', 'subject', and 'date'.

  2. Use the appropriate method to remove duplicates.

  3. Use the appropriate methods to shuffle the DataFrame and reset its index.

  4. Use the appropriate method to check for missing values (NaN values).

Ratkaisu

Mark tasks as Completed
Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 1. Luku 3
AVAILABLE TO ULTIMATE ONLY
Pahoittelemme, että jotain meni pieleen. Mitä tapahtui?
some-alt