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**Submitting author:** @felixbur (Felix Burkhardt)
**Repository:** https://github.com/felixbur/nkululeko
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** @faroit
**…
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### Idea Title
Implement Naive Bayes Algorithm
### Idea Description
The Naive Bayes algorithm is a supervised machine learning technique used for classification tasks based on Bayes' theorem. It as…
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Why don't you give the associated experimental results on some regression tasks in the MoleculeNet benchmark? Additionally, there are some pertaining techniques tailored for molecule data such as mol2…
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https://doi.org/10.1145/3107411.3107424
> Many of today's drug discoveries require expertise knowledge and insanely expensive biological experiments for identifying the chemical molecular propertie…
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## Basic RNNs
Ch. 10: Sequence Modeling: Recurrent and Recursive Nets
Goodfellow et al.
https://www.deeplearningbook.org/
> Accessible blog post
Chris Olah
http://colah.github.io/posts/201…
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### Idea Title
Implement Linear Regression Algorithm
### Idea Description
Linear regression is a fundamental statistical method used in supervised machine learning to model the relationship between…
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@mrocklin has started an impromptu xarray feature wishlist focusing mainly uses of Xarray for machine learning. It would be great to get some input from this group on the subject. There is an editable…
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**Lead:** Wei Ji Leong
**Date:** 21/08/2024
**Start Time:** 0900
**Duration:** 60
**Description:**
Details
### Learning Outcomes
* understanding how to convert ICESat-2 point cloud data into an an…
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### Name:
- Support Vector Machines (SVM)
### About:
Support Vector Machines (SVM) is a supervised machine learning algorithm primarily used for classification tasks, although they can also…