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basic_mondrian

The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attributes to numerical ones. This transformations is not good for some applications. In 2006, LeFevre proposed basic Mondrian, which support both categorical and numerical attributes. This repository is an implementation for basic Mondrian.

coding-interview

Data Structures, Sorts, etc. in Python

csharp-razor-task-tracking

cweno3

Third Order Central WENO scheme of Levy, Puppo and Russo

flight-arrival-times

A multivariable linear regression analysis of flight arrival times. This is a short project that was used as part of my application to Insight Data Science.

funnel-data-challenge

Looking at clickthrough rates between different webpages using a funnel analysis.

mondrian

Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).

mondrian-1

Spark-based Mondrian implementation

rnnoise

Recurrent neural network for audio noise reduction

segan

Speech Enhancement Generative Adversarial Network in TensorFlow

semantle-word

Get the semantle word with their own algorithm and their own word list https://st3ph4nnn.github.io/semantle-word/

shap

A game theoretic approach to explain the output of any machine learning model.

speech-denoising-wavenet

A neural network for end-to-end speech denoising

tasnet

Time-domain Audio Separation Network