Do you like to learn how to classify images and flowers with high accuracy?
Do you like to know how to use classification methods like Bayes to predict human gender with a few lines of codes?
Do you know you can predict the possibility of Diabetes using Classification Methods?
If you say Yes so read more …
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems learn to perform tasks by considering examples, generally without being programmed with any task–specific rules.
In this course you learn how to classify datasets by k–Nearest Neighbors Classification Method to find the correct class for data and reduce error. Then you go further You will learn how to classify output of model by using Naive Bayes Classification Method.
In the first section you learn how to use python to estimate output of your system. In this section you can classify:
Make your own k Nearest Neighbors Algorithm
In the second section you learn how to use python to classify output of your system with nonlinear structure .In this section you can classify:
Pima Indians Diabetes Database
Make your own Naive Bayes Algorithm
You can also learn how to classify datasets by by Support Vector Machines to find the correct class for data and reduce error. Next you go further You will learn how to classify output of model by using Logistic Regression
Courses : 3
Specification: AI Academy #2: Learn Classification & Clustering Methods A-Z
3 reviews for AI Academy #2: Learn Classification & Clustering Methods A-Z