Mastering Data Science and Machine Learning Fundamentals
A beginner course in data science, machine learning, regression, classification, and clustering
Get started with data science and machine learning by exploring core concepts and practical algorithms. Build a strong foundation in regression, classification, and clustering, and learn how to evaluate models with confidence. No prior experience is needed to begin your journey into this fast-growing field.
Packt | Jan 2021 | 108 min
What You Will Learn
You will learn through clear explanations that break down complex ideas into simple terms. Each topic is introduced step by step, focusing on practical understanding rather than heavy math or jargon. By working through real-world examples, you will gain hands-on experience with essential data science and machine learning techniques.
Key Features
- Understand key data science and machine learning terms and concepts from scratch
- Build and evaluate models using regression, classification, and clustering techniques
- Apply best practices for solving real-world problems with machine learning
Target Audience
Perfect for students, beginners, or anyone curious about data science and machine learning. If you want to understand how algorithms work and how to apply them to real problems, this course is for you. No prior knowledge of statistics or programming is required-just bring your curiosity and willingness to learn.
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