Random Forest

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Trees, SVM and Unsupervised Learning (Coursera) Coursera
University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Jun 15th 2026
4 Weeks
Introduction to Machine Learning: Supervised Learning (Coursera) Coursera
University of Colorado Boulder

Introduction to Machine Learning: Supervised Learning (Coursera)

Embark on a journey into the world of supervised machine learning with this foundational online course. Designed for beginners and advanced learners alike, you'll delve into essential algorithms like linear and logistic regression, K-nearest neighbors (KNN), decision trees, random forest, boosting techniques, and kernel methods such as support vector machines (SVM). This course is perfect for those looking to harness the predictive power of data.

Mar 2nd 2026
5-12 Weeks
Predicting Wine Quality with Random Forest and Scikit-Learn (Coursera) Coursera
Coursera Project Network

Predicting Wine Quality with Random Forest and Scikit-Learn (Coursera)

Discover how to tackle complex classification tasks with our guided project on predicting red wine quality. Using Python and the powerful Scikit-Learn package, you'll learn to implement a Random Forest Classifier, gaining essential skills in machine learning that can be applied to various domains such as email spam detection or credit card fraud prevention.

Mar 7th 2022
Self-Paced
Artificial Intelligence (Gashler) Other Providers
University of Arkansas

Artificial Intelligence (Gashler)

Dive deep into the world of Artificial Intelligence with our in-depth online course, designed for those who want to master AI programming. With 79 engaging lectures and 8 challenging programming assignments, this course will equip you with the skills needed to excel in AI development across various programming languages.

Self Paced
Self-Paced
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