Random Forest

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AI For Medical Treatment (Coursera) Coursera
DeepLearning.AI

AI For Medical Treatment (Coursera)

Embark on a transformative journey into the intersection of AI and medicine with 'AI For Medical Treatment' on Coursera. Gain practical skills in applying machine learning to diagnose patients more accurately, predict future health issues, and suggest effective treatments. This course is designed for healthcare professionals and data enthusiasts looking to leverage technology for better patient care.

Sep 14th 2026
3 Weeks
Practical Machine Learning on H2O (Coursera) Coursera
H2O.ai

Practical Machine Learning on H2O (Coursera)

Embark on a transformative journey into the world of machine learning with Practical Machine Learning on H2O. This course is designed for those new to data science, aiming to empower learners with the skills needed to create effective machine learning models using H2O's powerful open-source platform. From linear models and random forests to gradient boosting machines (GBMs) and deep learning, this course covers a broad spectrum of algorithms, ensuring you're well-equipped to tackle various data challenges.

Sep 14th 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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