What You'll Learn
Write ML code
Use Scikit-learn
About This Course
Learn how to implement machine learning algorithms using Python and real datasets.
This course has been meticulously designed to balance theory with practice. Each module builds on the last, ensuring you have a rock-solid foundation before advancing. You'll complete real projects that you can add to your portfolio, and have access to our community of 1,223+ fellow learners.
Course Curriculum
01
Python Basics
5 lessons
Lesson 1: Python Basics — Part 1
Lesson 2: Python Basics — Part 2
Lesson 3: Python Basics — Part 3
+ 2 more lessons
02
ML Models
6 lessons
Lesson 1: ML Models — Part 1
Lesson 2: ML Models — Part 2
Lesson 3: ML Models — Part 3
+ 3 more lessons
03
Projects
5 lessons
Lesson 1: Projects — Part 1
Lesson 2: Projects — Part 2
Lesson 3: Projects — Part 3
+ 2 more lessons
Your Instructor
k
Mark Wilson
Python ML Engineer
4.6 Rating
1,223 Students
3 Courses
A leading expert in Programming with over a decade of research and industry experience. Their work has been published in top-tier AI journals and they bring real-world insights that you simply can't find in textbooks.
Technologies Covered
AI Course Assistant
Ask about the curriculum, prerequisites, certificate, or what you will build in this course.
Hi! I can help explain this course using its description, learning outcomes, and curriculum.
Tip: press Ctrl + Enter to send.
Student Reviews
No approved reviews yet.
