Create machine learning models

  • Learning Path
  • 5 Modules

At a glance

Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Prerequisites

This learning path assumes knowledge of basic mathematical concepts. Some experience with Python is also beneficial.

Modules in this learning path

Explore and analyze data with Python

Data exploration and analysis is at the core of data science. Data scientists require skills in programming languages like Python to explore, visualize, and manipulate data.

Train and evaluate regression models

Regression is a commonly used kind of machine learning for predicting numeric values.

Train and evaluate classification models

Classification is a kind of machine learning used to categorize items into classes.

Train and evaluate clustering models

Clustering is a type of machine learning that is used to group similar items into clusters.

Train and evaluate deep learning models

Deep learning is an advanced form of machine learning that emulates the way the human brain learns through networks of connected neurons.

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