Machine Learning Fundamentals

Machine Learning Fundamentals
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Learn the essentials at a minimum cost!

What you’ll learn
Understand the different types of Machine Learning algorithms
A mini project to implement the skills
Learn about supervised and unsupervised machine learning

Requirements
No programming experience needed. All the concepts are taught from basics.
Description
The course also explains different algorithms in machine learning and a simple mini project with a real life application and implementation. The course will help the learners to clear all the fundamentals and enhance their existing skillset. Machine Learning concepts are implemented using python and basics of all the libraries is also been taught in the course itself. The course is a combination of conceptual theory as well as practical examples and real life project to help the students get ready for your journey.

The key takeaways from the course are

Knowledge about supervised machine learning

Knowledge about unsupervised machine learning

Study of algorithms

Applications of machine learning algorithms

Advantages and disadvantages

Information about job roles in the domain

Implementation of algorithms in real life project

Who this course is for
Beginner python developers curious to learn machine learning.