Supervised Machine Learning

Intermediate
Starting at USD 399.00
4 weeks duration

Discover a wide range of supervised learning techniques—from simple linear regression to support vector machines (SVM).

In the course Supervised Machine Learning on Udacity, you will learn various concepts and techniques related to regression, perceptron algorithms, decision trees, naive Bayes, support vector machines, ensemble of learners, evaluation metrics, and training and tuning models. You will understand the difference between regression and classification, train linear regression models, and use logistic regression to predict states. You will also learn about perceptron algorithms for classification, decision trees for state prediction, and naive Bayes algorithm for spam message prediction. Additionally, you will explore support vector machines for data separation, ensemble of learners for data visualization, and evaluation metrics for model performance measurement. Finally, you will train and test models using Scikit-learn, choose the best model using evaluation techniques, and apply these concepts in a course project to find donors for CharityML while considering marketing constraints.

About Provider

Udacity
Udacity
Online Education Provider · 302 courses
Description
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.
You need to login in order to be able to rate the course.
Register Login

Ratings

This course has not been reviewed by the community yet.