Projects in Machine Learning: From Beginner to Professional
A complete guide to master machine learning (ML) concepts and create real-world ML solutions
Created by Eduonix Learning Solutions
Explore the essentials of machine learning by working through hands-on projects that cover key algorithms and real-world applications. You'll gain practical experience with supervised and unsupervised learning, neural networks, and advanced models like CNNs and SRCNNs. Build your confidence as you create solutions for real challenges using ML.
Packt | Feb 2018 | 926 min
What You Will Learn
You will start by learning the foundational concepts of machine learning and how they differ from AI. Step by step, you'll apply these ideas in guided projects, such as building prediction models and working with image and text data. Each project reinforces your understanding and helps you develop practical ML skills.
Key Features
- Build and train models for fraud detection, text classification, and image analysis
- Apply neural networks and CNNs to solve real-world prediction and recognition tasks
- Understand and use supervised and unsupervised algorithms in practical projects
Target Audience
This course is ideal for beginners with basic Python and math skills who want to break into machine learning. If you're aiming to build real-world ML solutions or start a career as an ML developer, you'll find the content approachable and directly relevant to your goals.
