There are many ways to solve a problem using Machine Learning. Picking the right algorithm can make the difference between success or “burning down in flames”. In this course, Machine Learning with Python – Practical Application, you’ll learn how to pick the right ML model to solve your real-world problem. First, you’ll explore the characteristics of many real-world problems that can be solved using ML. Next, you’ll discover how each one of the types of algorithms can solve a particular problem and how. Finally, you’ll learn how to pick the right algorithm for your problem. When you’re finished with this course, you’ll have the skills and knowledge of ML needed to get started working on your problem and make the world a better place.
Author Name: Xavier Morera
Author Description:
Xavier Morera is driven by one passion: taking on the challenge of understanding complex topics and sharing that knowledge with others. He’s currently focused on the transformative fields of AI, machine learning, generative AI, search, and big data. As an entrepreneur, project manager, technical author, and trainer, Xavier brings a diverse set of skills and deep expertise to every project he takes on. He holds multiple certifications with Cloudera, Microsoft, and the Scrum Alliance and has been… more

Table of Contents

• Course Overview
  1min
• Getting Your Hands Dirty with Machine Learning
  14mins
• Regression
  22mins
• Classification
  40mins
• Dimensionality Reduction
  13mins
• Clustering
  16mins
• Understanding Other Types of ML Problems
  7mins