What you will learn
Python Programming
Machine Learning
Introduction to a sample Data Science project
Machine Learning Examples
Description
Academy of Computing & Artificial Intelligence proudly presents the course “Machine Learning Masterclass – Part 1 – Fundamentals”. It all started when the expert team of the Academy of Computing & Artificial Intelligence were having a discussion with hiring managers on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2021. We were able to conclude that having knowledge of Machine Learning is going to be a key requirement when it comes to hiring people. Hence, we came up with a part-by-part course series.
To make the course more interactive, we have also provided a code demonstration of a real-world project where we explain to you how we could apply each concept/principle [Step by step guidance].
At the End of this course you will be able to setup and build a project for Vehicle detection and counting
Requirements
- Hereβs the checklist:
- A computer – Setup and installation instructions are included.
- Your enthusiasm to learn
- Everything else needed is already included in the course.
At the end of the course, you will understand the basics of Python Programming and the basics of Machine learning.
The course will have step-by-step guidance for Machine learning & Python for Machine Learning.
You can enhance your core programming skills to reach the next level where we will discuss more advanced topics on Machine Learning.
Does the course get updated?
We continually update the course as well.
What if you have questions?
we offer full support, answering any questions you have.
Who this course is for:
- Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.
- Anyone looking to build the minimum Python programming skills necessary as a pre-requisite for moving into machine learning, data science, and artificial intelligence.
- Who want to improve their career options by learning Machine Learning.
Content