Classification Models

Engineering and Technology

Short Description

Learn how to use classification predictive models to solve business problems involving non-numeric data.

Long Description

In the course Classification Models on Udacity, you will be introduced to the fundamentals of predictive modeling and learn the essential terminology used in this field. You will also gain knowledge on selecting variables for predictive models and practice preparing datasets for modeling. The course covers binary classification models, where you will learn how to predict data with two possible outcomes using logistic regression and decision tree models. Additionally, you will explore non-binary classification models, which involve predicting categorical data with three or more possible outcomes. In this section, you will learn how to use decision tree, forest, and boosted models. Throughout the course, you will also learn how to compare different models and interpret their results, enabling you to make informed decisions in your predictive modeling endeavors.

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Course Details

Duration: 2 weeks
Difficulty: Intermediate
Format: Short Course
Price: Free
Course Link

Udacity

Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.

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