regression

A framework to train, validate and test regression models

Library for stochastic control

This project aims to leverage an extensive dataset of flight booking records sourced from the "Ease My Trip" website to develop predictive models for estimating ticket prices. With a focus on incorporating various influencing factors such as airline choice, travel class, booking lead time, and other significant attributes, our goal is to create a robust analytical framework that enables stakeholders to gain insights into flight pricing dynamics.

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

This project aims to develop a dynamic pricing model for a ride-sharing service that can accurately predict optimal fares. The model will incorporate various factors, including demand patterns and supply availability, to ensure fair and efficient pricing for riders and drivers.

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

Machine Learning.

Rice University Spring 2024.

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