A Practical Guide to Machine Learning with Python

57 Lessons
12 Quizzes
108 Playgrounds
39 Illustrations

Takeaway Skills

Learn fundamental principles and techniques of machine learning.

Understand the benefits and drawbacks of a variety of common machine learning methods.

The key premise of the course is to teach you how to code basic machine learning models.

Develop skills with using machine learning tools to solve real-world issues.

Learn the fundamentals of different learning paradigms (supervised, unsupervised, etc.).

Learn fundamental principles and techniques of machine learning.

Understand the benefits and drawbacks of a variety of common machine learning methods.

The key premise of the course is to teach you how to code basic machine learning models.

Develop skills with using machine learning tools to solve real-world issues.

Learn the fundamentals of different learning paradigms (supervised, unsupervised, etc.).

Course Overview

This course teaches you how to code basic machine learning models. The content is designed for beginners with general knowledge of machine learning, including common algorithms such as linear regression, logistic regression, SVM, KNN, decision trees, and more. If you need a refresher, ...

How You'll Learn

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

1. Introduction to Course
2. Introduction to Machine Learning
3. Exploratory Data Analysis
4. Data Scrubbing
5. Pre-Model Algorithms
6. Split Validation
7. Model Design
8. Linear Regression
9. Logistic Regression
10. Support Vector Machines
11. K-Nearest Neighbors
12. Tree-Based Methods
13. Conclusion
14. Appendix

Join more than 1.5 million learners from companies like

COURSE BY:

Oliver Theobald

Teams of every size choose
Educative for Business
to train, upskill & onboard their developers