bckenstler / Dsb17 Walkthrough

Presentations for JuliaCon

Pytorch code for BMVC 2018 paper

This Repository contains all tensorflow tutorials.

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

Python Tutorials

ETL with Python - Taught at DWH course 2017 (TAU)

environment setup for strata conference 2018

Code and notebooks for Econometric Theory

Stock Market Analysis with RNN and Time Series

Курс по Python по работе с VK API

An implementation of NSGA-III in Python.

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.

Tensorflow for Time Series Applications

🍧 A repository that contains courses I have taken on DataCamp

支付宝红包/淘宝领喵币/雪球红包/苏宁易购/京东/淘宝自动签到 领取金币

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

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

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