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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
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I am trying to optimize my own machine learning platform, which uses a variant of ensemble learning ... not deep neural networks. I want to learn how to use plaidml via a python interface, without hav…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Flight Fare Prediction
:red_circle: **Aim** : Building Flask web app which predicts fare of Flight tick…
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Outgoing shortwave flux is the variable this project focuses on constraining. This variable is currently on the azure container and I am inclined to upsert it to its own data table as this will make i…
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In the same line of thought of algorithms which claim... or have beaten deep learning methods (Issue 144), Gradient Boosted Trees is one of them.
http://xgboost.readthedocs.io/en/latest/model.htm…
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Issue by @MaxUlysse, moved from SciLifeLab#666
- [ ] [ExpansionHunter](https://github.com/Illumina/ExpansionHunter) for estimating repeat sizes
- [ ] [QDNAseq](https://github.com/ccagc/QDNAseq) CN…
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# UQ4ML – Uncertainty Quantification Techniques in Machine Learning Models
This session focuses on uncertainty quantification (UQ) techniques in machine learning models and their applications acros…
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great code
only may you help these data sets mentioned in paper to try your code ?
Datasets. We use all regression datasets from three recent works: 3 large tabular datasets from [43], a chemical d…
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- [ ] Apply at least four different learning algorithms (from different major groups: Support Vector Machines, Neural Networks, Nearest Neighbor Classifiers, Naive Bayes, Decision Trees, Generalized L…