bioinform / Rnacocktail

An implementation of NSGA-III in Python.

Stock Market Analysis with RNN and Time Series

An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017

Code and notebooks for Econometric Theory

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

🍧 A repository that contains courses I have taken on DataCamp

Курс по Python по работе с VK API

Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/

Source Code for 'Machine Learning with PySpark' by Pramod Singh

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Presentations for JuliaCon

Python Tutorials

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois

Pytorch code for BMVC 2018 paper

A recommendation system using tensorflow

PyCon 2017 tutorial on time series analysis

environment setup for strata conference 2018