Learn the core concepts of Machine Learning and its algorithms and how to implement them in Python 3
InstructorSujithkumar MAThe curriculum covers a wide range of supervised learning techniques, including Linear Regression, Logistic Regression, Support Vector Machines, and Decision Trees.
Instructional methods include showing algorithm code immediately following the conceptual explanation to aid understanding.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This educational slide defines Machine Learning as the subfield of computer science that gives computers the ability to learn without being explicitly programmed.
One signal indicates that specific algorithms, such as K-means, may lack complete implementation examples.
The teaching style includes frequent verbal fillers that may impact the learner experience.
The curriculum aligns well with the target of beginner Python developers by covering essential data science libraries and core ML concepts.
