Introduction to ML Classification Models using scikit-learn

Online Course

Udemy

Go to Udemy

Start Learning

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Introduction to ML Classification Models using scikit-learn

The course Introduction to ML Classification Models using scikit-learn is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

An overview of Machine Learning with hands-on implementation of classification models using Python’s scikit-learn

Course description

Introduction to ML Classification Models using scikit-learn

Have a broad understanding of ML and hands on experience with building classification models using Support Vector Machines, Decision Trees and Random Forests in Python’s scikit-learn

Basic Python programming

2 hours on-demand video
1 article
2 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of Completion
Loony Corn

Start Learning

Prerequisites & Facts

Introduction to ML Classification Models using scikit-learn

Course Topic

Data Science, Development, Machine Learning

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Start Learning

Degree & Cost

Introduction to ML Classification Models using scikit-learn

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Introduction to ML Classification Models using scikit-learn

provided by Udemy

Start Learning