Machine Learning A-Z: Hands-On Python
Learn to create machine learning algorithms in Python. From regression to deep learning, master the most popular ML techniques.
Created by Marcus Johnson
Last updated January 2024English
What you'll learn
- Understand ML algorithms and their applications
- Implement regression and classification models
- Work with neural networks and deep learning
- Handle real-world datasets
- Build and deploy ML models
Course Content
Course curriculum coming soon.
Requirements
- Python programming experience
- Basic statistics knowledge
- Understanding of linear algebra basics
Description
Learn to create machine learning algorithms in Python. From regression to deep learning, master the most popular ML techniques.
This comprehensive course will take you from beginner to advanced level. With hands-on projects, real-world examples, and expert guidance, you'll gain the skills needed to excel in your career.
Who this course is for
- Data scientists advancing their skills
- Software engineers learning ML
- Researchers and academics
Instructor
Marcus Johnson
Data Science Lead
89.0k
Students
8
Courses
4.7
Rating
3.2k
Reviews
Data Science expert and Machine Learning researcher. PhD in Computer Science from MIT. Published researcher with 50+ papers. Helping students master AI and ML fundamentals.
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