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Initial Model Fit | Identifying Fake News
Identifying Fake News
course content

Contenido del Curso

Identifying Fake News

bookInitial Model Fit

Now that we have prepared our data, the time has come to train our algorithm. We will start by splitting our data into training and testing sets, then train a Logistic Regression model as a starting point for our analysis.

Tarea

  1. Split the data into training and test sets (75% to 25%, respectively).
  2. Use the appropriate method to train the Logistic Regression model.
  3. Make predictions using the Logistic Regression model on the test set.

Mark tasks as Completed
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Now that we have prepared our data, the time has come to train our algorithm. We will start by splitting our data into training and testing sets, then train a Logistic Regression model as a starting point for our analysis.

Tarea

  1. Split the data into training and test sets (75% to 25%, respectively).
  2. Use the appropriate method to train the Logistic Regression model.
  3. Make predictions using the Logistic Regression model on the test set.

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 5
AVAILABLE TO ULTIMATE ONLY
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