Hierarchical Multi Class validation metrics:HMC-loss
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Updated
Apr 24, 2017 - Python
Hierarchical Multi Class validation metrics:HMC-loss
Machine Learning project to predict popularity of Instagram posts
Python wrapper around R's lovely `smooth.spline`
A python implementation of the Generative Topographic Mapping
Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion
This repository contains the machine learning examples in anaconda-python
Scikit-learn (sklearn) projects in form of Jupyter Notebooks
classify anyone as either 'male' or 'female' given just their 'height', 'weight' and 'shoe size' (youtube challenge by 'Siraj Raval')
Gender Classifier, Price Predictor, Human Behavior Predictor and other Insights from Machine Learning.
A scikit-learn compatible implementation of Bumping as described by “Elements of Statistical Learning” second edition (290-292).
A sample of often unknown and underrated functionalities in scikit learn library.
The code commited while the code tutorials on yt.
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…
Contains models implemented from scratch and a project implemented from end-to-end
Notes, tutorials, code snippets and templates focused on scikit-learn API extention for Machine Learning
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
The transformer that transforms data so to squared norm of transformed data becomes Mahalanobis' distance.
A package for fitting regularized models from scikit-learn via proximal gradient descent
A garden for scikit-learn compatible trees
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