Arizona State University - Introduction to Machine Learning with Python
- Offered byCoursera
Introduction to Machine Learning with Python at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Machine Learning with Python at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
- 10 quizzes
Introduction to Machine Learning with Python at Coursera Course details
- What you'll learn
- Students will be able to apply advanced python coding skills in the real world by creating machine learning models.
- 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!
Introduction to Machine Learning with Python at Coursera Curriculum
Course Introduction
Introduction to the Course
Python Recommended Links and Readings
Module 1: Introduction to Machine Learning
Overview of Machine Learning
Introduction to Supervised Learning
Introduction to Unsupervised Learning
How to Load and Process Data Sets
What is a Perceptron
What is Linear Regression?
Lesson 1 Overview
Weekly Lesson PowerPoint
Supervised Learning Example
Unsupervised Learning Example
Lesson 2 Overview
Weekly Lesson PowerPoint
Lesson 3 Overview
Weekly Lesson PowerPoint
Perceptron Code Example
Lesson 4 Overview
Weekly Lesson PowerPoint
Linear Regression Code Example
Machine Learning Quiz
Datasets Quiz
Formative Assessment: Perceptrons and Linear Regression
Module 2: More Supervised Learning Algorithms
What is K-Nearest Neighbors
What are Support Vector Machines?
What is Regression Analysis?
What is Cluster Analysis? (K-Means and DBSCAN)
Lesson 1 Overview
Weekly Lesson PowerPoint
KNN Code Example
Lesson 2 Overview
Weekly Lesson PowerPoint
Support Vector Machines Code Example
Lesson 3 Overview
Weekly Lesson PowerPoint
Lesson 4 Overview
Weekly Lesson PowerPoint
K-Means Clustering Code Example
Supervised Learning Quiz
Unsupervised Learning Quiz
Unsupervised Learning Quiz
Formative Assessment: Supervised Learning
Unsupervised Learning
Module 3: Advanced Machine Learning Topics
Overview of Deep Learning
Overview of Image Processing
Overview of GANs
Course Review
Lesson 1 Overview
Weekly Lesson PowerPoint
Lesson 2 Overview
Weekly Lesson PowerPoint
Lesson 3 Overview
Weekly Lesson PowerPoint
Deep Learning Quiz
Image Processing Code
Generative Adversarial Networks
Make a Classifier
Generative Adversarial Networks
Introduction to Machine Learning with Python at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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