Principles of Machine Learning: Python Edition
Self-Paced
Learning Style
Microsoft
Provider
Intermediate
Difficulty
48 Hours
Course Duration
Course Info
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Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.
Course Information
About this course:
Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
Course Objective:
- Data exploration, preparation and cleaning
- Supervised machine learning techniques
- Unsupervised machine learning techniques
- Model performance improvement
Audience:
- Data Analyst
- Programmers
Prerequisite:
- A basic knowledge of math
- Some programming experience – Python is preferred.
- A willingness to learn through self-paced study.
Outline
More Information
| Brand | Microsoft |
|---|---|
| Subjects | App Development |
| Lab Access | No |
| Technology | Microsoft, Programming Language |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 48 Hours |
| Language | English |
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