Principles of Machine Learning with Python








Last updated on July 12, 2024 10:42 pm

Understand how machine learning works and how to build, evaluate and improve machine models with this online course from CloudSwyft Global Systems, Inc.

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Who is the course for?

This course is part of the Microsoft Professional Program Certificate in Data Science and the Microsoft Professional Program in Artificial Intelligence. It provides a foundational understanding of machine learning using python, useful for anyone new to learning python, or wishing to use python to build machine learning solutions.

The practical elements of this course involve building end-to-end workflows by combining the concepts and algorithms that will be introduced throughout the course. For the most part, you’ll be given the code you need to complete the exercises, but a basic knowledge of Python syntax will improve your understanding of what’s going on in the labs and demonstrations.

If you’d like to strengthen your knowledge of this subject further, you may be interested in these courses by the same provider that cover the same overall learning objectives:

Microsoft Future ready: Ethics and Law in Data and Analytics

Microsoft Future Ready: Data Science Research Methods Using Python Programming

Microsoft Future Ready: Designing and Implementing an Azure AI Solution

What topics will you cover?

Introduction to Machine Learning & Knowledge Discovery

Exploring & Evaluating Data

Cleaning & Preparing Data

Getting Started with Supervised Machine Learning

Improving Machine Learning Model Performance

Machine Learning Algorithms

Unsupervised Machine Learning

What will you achieve?

By the end of the course, you‘ll be able to…

Data exploration, preparation and cleaning

Supervised machine learning techniques

Unsupervised machine learning techniques

Model performance improvement

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    Principles of Machine Learning with Python
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