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Voltar para Classification Trees in Python, From Start To Finish

Comentários e feedback de alunos de Classification Trees in Python, From Start To Finish da instituição Coursera Project Network

148 classificações
31 avaliações

Sobre o curso

In this 1-hour long project-based course, you will learn how to build Classification Trees in Python, using a real world dataset that has missing data and categorical data that must be transformed with One-Hot Encoding. We then use Cost Complexity Pruning and Cross Validation to build a tree that is not overfit to the Training Dataset. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with Python and the theory behind Decision Trees, Cost Complexity Pruning, Cross Validation and Confusion Matrices. Notes: - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Melhores avaliações


Jun 18, 2020

A very informative and well guided short session to understand overview of Classification Trees. Covers lot of important concepts in 1 hour. Highly recommend


May 10, 2020

Machine learning algorithms used for data-set classification and many more works really impressed.

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26 — 30 de 30 Avaliações para o Classification Trees in Python, From Start To Finish

por Ramesh N

Apr 29, 2020

Very good Explanation!

por Garima J

May 09, 2020


por Aritra S

Jun 03, 2020

The explanations needs to be much better, instead, the teacher is just reading through the pre-written document

por M A M

Aug 01, 2020

Bamn it!!

por Jain H

Jun 27, 2020

Rhyme is such a shit tool