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Putting All Together | Identifying Spam Emails
Identifying Spam Emails
course content

Contenido del Curso

Identifying Spam Emails

bookPutting All Together

Tarea

  1. Import the accuracy_score() function.
  2. Predict labels using the logistic regression classifier with the appropriate method.
  3. Print out the accuracy using the appropriate function.

Congratulations on completing the course on classifying spam emails! The ability to effectively identify and filter spam is a valuable skill in today's digital age. I hope you have gained a deeper understanding of the techniques and algorithms used to combat spam, and that you can apply what you have learned to improve the efficiency and accuracy of your own email systems. Keep up the good work, and all the best for your future endeavors!

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¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Tarea

  1. Import the accuracy_score() function.
  2. Predict labels using the logistic regression classifier with the appropriate method.
  3. Print out the accuracy using the appropriate function.

Congratulations on completing the course on classifying spam emails! The ability to effectively identify and filter spam is a valuable skill in today's digital age. I hope you have gained a deeper understanding of the techniques and algorithms used to combat spam, and that you can apply what you have learned to improve the efficiency and accuracy of your own email systems. Keep up the good work, and all the best for your future endeavors!

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 11
AVAILABLE TO ULTIMATE ONLY
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