Overview
This course on Scikit-learn aims to help learners understand and utilize the Scikit-learn library in Python for machine learning applications. By the end of the course, students will be able to install Scikit-learn, explore its support for algorithms, understand its applications, and identify its advantages and disadvantages. The course includes a practical demo in Python to reinforce learning. The intended audience for this course includes individuals interested in machine learning, data science, and Python programming.
Syllabus
Introduction.
Agenda.
What is Scikit learn?.
Installing Scikit learn.
Support for Algorithms.
Applications of Scikit learn.
Advantages and Disadvantages.
Practical Demo in Python.
Summary.
Taught by
Great Learning