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Learner Reviews & Feedback for Neural Networks and Random Forests by LearnQuest

About the Course

In this course, we will build on our knowledge of basic models and explore advanced AI techniques. We’ll start with a deep dive into neural networks, building our knowledge from the ground up by examining the structure and properties. Then we’ll code some simple neural network models and learn to avoid overfitting, regularization, and other hyper-parameter tricks. After a project predicting likelihood of heart disease given health characteristics, we’ll move to random forests. We’ll describe the differences between the two techniques and explore their differing origins in detail. Finally, we’ll complete a project predicting similarity between health patients using random forests....
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1 - 5 of 5 Reviews for Neural Networks and Random Forests

By Rocher L

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Aug 16, 2023

The content was thoroughly organized and effectively explained. However, the majority of assigned readings were on a member-exclusive blog (Towards Data Science) which would require payment to become accessible.

By Vijai K S

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May 19, 2023

Both of the programming assignments are left empty. From discussion forums, it seems like they haven't fixed it in over a year.

By Antares C

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Oct 19, 2023

Incomplete course. Materials are missing and the instructors are obviously missing and are just interested to get the course subscriptions and disappear. Probably scams.

By Mosharev P

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Dec 29, 2023

They deleted the two programming assignments, so, there is not so much sense in the whole course anymore

By Luíza W

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Dec 9, 2021

Very shallow and there are few to none exercises.