Machine Learning Algorithms: Supervised Learning Tip to Tail

via Coursera

Overview

Title: Machine Learning Algorithms: Supervised Learning Tip to Tail

Description: Dive deep into the world of supervised machine learning with our comprehensive course. Starting with the basics, this course equips learners with the knowledge to understand and implement key supervised learning techniques using real-world case studies. Discover how decision trees, k-nearest neighbours, and support vector machines can be effectively utilized in business scenarios. Enhance your skills in evaluating the implications of different data preparation methods and tackling common production challenges in applied ML. Participants should have a beginner-level proficiency in Python (ability to read and write code, use basic structures like loops and conditionals) and a foundational understanding of linear algebra and statistics. This course is the second in the Applied Machine Learning Specialization offered by Coursera in partnership with the Alberta Machine Intelligence Institute.

University: Alberta Machine Intelligence Institute

Provider: Coursera

Categories: Machine Learning Courses, Algorithms and Data Structures Courses, Supervised Learning Courses