Machine Learning with Python and Scikit-Learn – Full Course
Taha GÖÇER
About this course
This course provides a hands-on introduction to machine learning, focusing on practical applications using Python and Scikit-Learn. Designed for beginners, it covers essential topics including linear regression, dataset exploration, interpreting model outputs, and using different machine learning models. Learners will apply these concepts to real-world problems, such as predicting medical expenses based on various customer attributes.
What you should already know
Familiarity with basic programming in Python and elementary statistics is recommended before enrolling in this course.
What you will learn
By the end of this course, learners will be equipped to build, train, and deploy machine learning models confidently, particularly focusing on linear regression techniques.