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an-introduction-to-interactive-programming-in-python-part_1

An Introduction to Interactive Programming in Python (Part 1)

an-introduction-to-interactive-programming-in-python-part_2

An Introduction to Interactive Programming in Python (Part 2) offered by Rice University.

artificial-intelligence

Interesting Artificial Intelligence Projects

coursera-r-programming

Online course -- R Programming

coursera-statistical-inference

data-analysis-and-statistical-inference

Duke University Online Course

datascience_review

A review of what I have learnt

datasciencecoursera

datasharing

The Leek group guide to data sharing

dspnumex

Numerical examples examples for the DSP class by Martin Vetterli and Paolo Prandoni on coursera.

environmental_data_analysis

Environmental data analysis for a Chinese city. As a preliminary expectation, the data would be expressed in temporal-spatial domain for air quality analysis.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exdata_plotting2

Assignment 2 for Exploratory Data Analysis.

foundations-of-data-analysis

Online course -- UTAustinX: UT.7.01x

fundamentals_of_javascript

JavaScript exercises of Codecademy.com

fundamentals_of_javascript_original

Original version of JavaScript exercises offered by CodeCademy.

galaxies_and_observational_cosmology

MATLAB code backup for Galaxies and Observational Cosmology (RRY091)

getting-and-cleaning-data

Coursera course Getting and Cleaning Data

gps_related_project

A GPS related project code backup.

kalmanlocationmanager

Android LocationManager that delivers location predictions based on a Kalman filter.

labs

Scripts for HarvardX courses: PH525x

learn_java_codecademy

Introduction online coding course to Java.

learn_sql_codecademy

Basic SQL operations

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

misc

Some codes for individual courses.

optical_remote_measurement_of_aerosols_in_emission_gas_plumes

Temporal and spatial data analysis from several days of optical remote sensing measurements in Beijing and Tianjing, China. Since the data were collected from different spectrometers (using the DOAS, the SOF and the 'Flame') , the wind meter and the GPS tracker, data cleaning and merging were applied heavily. The report can be read here: http://bth.diva-portal.org/smash/record.jsf?dswid=6757&pid=diva2%3A1161372&c=1&searchType=SIMPLE&language=en&query=Optical+Remote+Measurements+of+Particles+in+Emission+Gas+Plumes&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=undergraduate

php--codecademy

PHP beginning

plate_motion_analysis

Analysis of plate movement from 8 ground stations worldwide.

plumber

Turn your R code into a web API.

principal_components_analysis_of_emission_particles_from_optical_remote_sensing

We expect that the solar light intensity at 500 nm, light intensity ratio of 340 nm to 675 nm, and concentrations of the selected gas species from the measurement can be recognized and separeted by the PCA.