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

Contenido del Curso

Identifying Fake News

bookTrue News and Fake News

We will now start working on our project. The final goal of our analysis is to predict whether the given news is fake or true. You will handle text data and build ML (Machine Learning) algorithms.

Tarea

  1. Read the CSV files containing fake news and true news into their respective DataFrames.
  2. Set the values of the target column 'class' to 0 for the fake_news DataFrame and to 1 for the true_news DataFrame.
  3. Use the appropriate function to merge these two DataFrames.
  4. Display the first 5 rows of the resulting DataFrame using the appropriate method.

Mark tasks as Completed
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

We will now start working on our project. The final goal of our analysis is to predict whether the given news is fake or true. You will handle text data and build ML (Machine Learning) algorithms.

Tarea

  1. Read the CSV files containing fake news and true news into their respective DataFrames.
  2. Set the values of the target column 'class' to 0 for the fake_news DataFrame and to 1 for the true_news DataFrame.
  3. Use the appropriate function to merge these two DataFrames.
  4. Display the first 5 rows of the resulting DataFrame using the appropriate method.

Mark tasks as Completed
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 1. Capítulo 2
AVAILABLE TO ULTIMATE ONLY
some-alt