IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

Cointegración en series de tiempo

My Master's thesis in Computer Engineering. My thesis involves using Software Defined Radios in radiometer applications.

Experiments with using neural nets to solve a Rubik's Cube - read README first

Persian Sentiment Analysis

An Analysis of the Distribution Law of Word Frequency and Stroke Number in Chinese

PySAL: Python Spatial Analysis Library Meta-Package

Miscellaneous IPython notebooks showing off plotly's features

misc

IPython notebooks to do magic things with well log data

Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

A set of tools for elastic image registration in Julia

Scripts and utilities for processing electrophysiology data

Code exercises and demos complementing lecture materials.

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

Classification Problem to detect credit card fraud