Predictive Analytics with TensorFlow, published by Packt

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.

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Курс по Python по работе с VK API

Code and notebooks for Econometric Theory

Converts a Shapefile, GeoJSON, or CSV to an equal area cartogram

Pytorch code for BMVC 2018 paper

Python Tutorials

This Repository contains all tensorflow tutorials.

Presentations for JuliaCon

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

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

使用mxnet编写的kaggle CIFAR10比赛的代码

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

🍧 A repository that contains courses I have taken on DataCamp

Stock Market Analysis with RNN and Time Series