Machine Learning with Python: A Practical Introduction (edX)

Machine Learning with Python: A Practical Introduction (edX)
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Recommended: Python Basics for Data Science
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Machine Learning with Python: A Practical Introduction (edX)
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

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This Machine Learning with Python course dives into the basics ofMachine LearningusingPython, an approachable and well-known programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

You'll look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!

We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests.

Mostimportantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!

This course is part of the Python Data Science Professional Certificate and IBM Data Science Professional Certificate.


What you'll learn

- Supervised vs Unsupervised Machine Learning

- How Statistical Modeling relates to Machine Learning, andhow to do a comparison of each.

- Different waysmachinelearning affects society


Syllabus


Module 1 - Introduction to Machine Learning

- Applications of Machine Learning

- Supervised vs Unsupervised Learning

- Python libraries suitable for Machine Learning


Module 2 - Regression

- Linear Regression

- Non-linear Regression

- Model evaluation methods


Module 3 - Classification

- K-Nearest Neighbour

- Decision Trees

- Logistic Regression

- Support Vector Machines

- Model Evaluation


Module 4 - Unsupervised Learning

- K-Means Clustering

- Hierarchical Clustering

- Density-Based Clustering


Module 5 - Recommender Systems

- Content-based recommender systems

- Collaborative Filtering


Prerequisites

Recommended: Python Basics for Data Science



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Course Auditing
83.00 EUR
Recommended: Python Basics for Data Science

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.