ikding / Pycon_time_series

This Repository contains all tensorflow tutorials.

Python Tutorials

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

Presentations for JuliaCon

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

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

🍧 A repository that contains courses I have taken on DataCamp

An implementation of NSGA-III in Python.

Code and notebooks for Econometric Theory

Stock Market Analysis with RNN and Time Series

Курс по Python по работе с VK API

environment setup for strata conference 2018

Tensorflow for Time Series Applications

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.

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

Pytorch code for BMVC 2018 paper