Machine Learning
Beginner
Machine Learning with Python: A Practical Introduction
Machine Learning with Python: A Practical Introduction
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1
Students
4
Lessons
ID
Language
Created by
Saeed Aghabozorgi
Language
id
Translations
None
Transcripts
English
Prerequisites
None
What you'll learn
Master these skills and apply them to real-world projects.
Explain the difference between the two main types of machine learning methods: supervised and unsupervised
Describe Supervised learning algorithms, including classification and regression
Describe Unsupervised learning algorithms, including Clustering and Dimensionality Reduction
Explain how statistical modelling relates to machine learning and how to compare them
Discuss real-life examples of the different ways machine learning affects society
Build a prediction model using classification
Course curriculum
2 sections · 4 lessons
2
Sections
4
Lessons
0
Reviews
1
Students
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Rating
Materi 2.1: Quam et ad qui ut.
Materi 2.2: Facilis sed molestiae et et.
About this course
Course description
Meet your instructor
Learn from an industry expert
Saeed Aghabozorgi
PhD, Sr. Data Scientist at IBM
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