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### Title
Nilearn: Statistics for Neuroimaging in Python
### Short description and the goals for the OHBM BrainHack
Nilearn is an open-source Python package for fast and easy analysis and vis…
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### Idea
The goal of this idea is to allow users to call stdlib APIs from within Google Sheets. This will allow users to perform linear algebra and various machine learning operations directly on s…
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## Gold Price Prediction
### Project Overview
This project aims to predict the price of gold using various machine learning models. The project includes data exploration, feature engi…
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I have never seen a loss function which compare positive examples and negative examples. All the loss function I have seen so far (i'm still a student) compare the true value of _y_ with an estimated …
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Has the GRAKN team ever thought to implement natural language to graql via machine learning models and datasets similar to https://github.com/salesforce/WikiSQL and other efforts using [SQL ](https://…
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currently the first category in alphanumerical order is used as reference category in MNLogit.
Users can change their labels or categories to get the desired reference category as the first in alphan…
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In the process of semi-random sample formation from file iterators, it happens that one may select a file unsuitable for learning. There are currently ways of filtering files on metadata and file nam…
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I have used [PyMC3](http://docs.pymc.io/index.html) a few times do statistical learnings tasks (both in NLP and in political science). It has a pretty nice Python API. One of the rough points (from my…
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### Description
Multivariate adaptive regression splines
### Purpose
Output similar to ordinary regression for high dimensional data. The method allows testing of non-linear associations alon…
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The link to ISR in `logistic.Rmd` appears to be broken.
Was it supposed to direct to the Introduction to Statistical Learning book by James, Witten, Hastie, Tibshirani, and Taylor?
It seems that…