CourseraAbout This Course
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization. By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. You will prepare your data, train a predictive model, evaluate and improve your model, and understand how to get the most out of your models.
Related Courses
$49Machine Learning Specialization
Andrew Ng
$49Mathematics for Machine Learning and Data Science Specialization
Luis Serrano
$49IBM AI Engineering Professional Certificate
IBM Skills Network
PaidIntroduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
PaidDP-100: A-Z Machine Learning using Azure Machine Learning
Udemy
PaidMachine Learning
Stanford University