Introduction to Machine Learning with Python (Coursera)

You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!

This course is part of the Python: A Guided Journey from Introduction to Application Specialization.

What you'll learn

Students will be able to apply advanced python coding skills in the real world by creating machine learning models.

Syllabus

Course Introduction

Module 1

This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models. You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!

Module 1: Introduction to Machine Learning

Module 2

In this module you will learn about machine learning and how each branch of machine learning works in Python.

Module 2: More Supervised Learning Algorithms

Module 3

In this module, you will learn about two other supervised machine learning models: k-nearest neighbors (kNN) and support vector machines (SVM). You will learn under which conditions you’d use these two models. You will also learn about unsupervised machine learning models and how they work.

Module 3: Advanced Machine Learning Topics

Module 4

In this module, you will gain an overview of advanced machine learning topics, including deep learning, image processing, and generative adversarial networks (GANs).