Getting Started with Machine Learning
Learn the foundation and prerequisites to become a Machine Learning Engineer
Description
Get started on an exciting machine learning journey with this course, "Prerequisites for machine learning for 2024".
Whether you're a beginner, intermediary or just curious, this course covers the basics you need for a solid start in machine learning. We start by introducing basic machine learning concepts to help you navigate the maze of math and statistics that can seem overwhelming at first for most of the new learners. My goal in this course is to make learning enjoyable and easy to understand, ensuring you are well prepared for the exciting world of machine learning. We then guide you through setting up your development environment on various systems, making sure you're ready for hands-on learning, the google's Colab will also be discussed as tool to development ML models in this course. Dive into the math section with easy-to-understand calculations and explanations of linear algebra. Then explore statistics, covering things like probability distribution, bias, and variance, as well as important concepts like mean, median, and mode. By the end of the course, you will not only understand the basics of machine learning, but also feel confident navigating the modern machine learning environment. Join an immersive learning experience and equip yourself with the knowledge to succeed in the ever-evolving world of machine learning..
What You Will Learn!
- Basics of Machine Learning
- Building Powerful Machine Learning Models
- Prerequisites for Machine Learning in 2021
Who Should Attend!
- Beginner Python developers curious about Data Science and Machine Learning.