Machine Learning Basics
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Nick Pettit
45:17
187 View
01. What is Machine Learning.webm
05:06
02. Supervised and Unsupervised Learning.webm
08:03
03. Machine Learning Frameworks.webm
04:01
01. Examples and Features.webm
03:02
02. Labels and Classifiers.webm
02:39
01. Installing scikit-learn using Anaconda.webm
06:07
02. Loading a Dataset.webm
06:59
03. Making Predictions with a Classifier.webm
07:18
04. Machine Learning Review.webm
02:02
ML-machine-learning-basics.zip
Description
About this Course
Machine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subject, so the term "machine learning" is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules and learn about new things, on its own.
In this course, we'll explore some of the big ideas, and toward the end, we'll even write a little bit of code in Python that can make some intelligent predictions.
What you'll learn
- Fundamental concepts in machine learning
- Supervised versus Unsupervised learning
- Machine learning frameworks
- Machine learning using Python and scikit-learn
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Nick Pettit
Instructor's CoursesNick is a teacher at Treehouse and an independent game developer. His Twitter handle is @nickrp.
Treehouse
View courses TreehouseTreehouse or is an online technology school that offers beginner to advanced courses in web design, web development, mobile development and game development. Its courses are aimed at beginners looking to learn computer coding skills for a career in the tech industry.
- language english
- Training sessions 9
- duration 45:17
- Release Date 2023/04/30
