Description
This course introduces the fundamentals of machine learning, helping you understand how machines learn from data. It is perfect for beginners who want to start their journey in AI and data science.
You will learn about different types of machine learning algorithms, including supervised and unsupervised learning, and how they are applied in real-world scenarios.
Benefits of the course
- ML concepts
- Model building basics
- Data prediction
- Algorithm understanding
Topics for this course
12 Lessons
Introduction to Machine Learning
What is ML
Types of ML
ML Workflow
Applications
Data Preparation
Supervised Learning
Requirements
- Python & math knowledge helpful
Target Audience
- Beginners, students, and aspiring data scientists
Materials included
- Datasets
- Code examples
- Exercises
- Mini projects
