R

regression

A framework to train, validate and test regression models

Endgoal: a comparison of categorisation algorithms and techniques for a specific task (regression models for auction bidding data to determine bid categories) Most of the work: data preprocessing and aggregation

Library for stochastic control

A bot to help with Linux kernel regression tracking: https://linux-regtracking.leemhuis.info/about/

An example of tabular data regression (parameter estimates) using TabNet

My attempts to solve homework from the Moscow Institute of Physics and Technology course

Collection of completed data-mining (university course) on python

But the plans were on display …

"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.

Python wrapper of sklearn to simplify most frequently tasks to do nonlinear regressions

Simple Facial recognition with PCA from scratch (c++ and python). Academic Project

Multimodal Brain Tumor Segmentation (BRATS) Challenge 2019

Training of deep networks for medical image segmentation tasks Network and training strategy that relies on the strong use of data augmentation

Establish a review's quality value

A VERY early alpha, don't use. Or use, but refactor first and send a PR.

A replacement for patsy better suitable for fully automated use

a set of python routines for curve fitting, by using different techniques