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2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2016-06_spreadsheets

Talks given in May and June 2016.

2016_08_02_rioolympicsathletes

init

2016_textvis

Text Visualiation Workshop at Imperial College

3d_pose_estimation

This is the code for "Machine Vision" By Siraj Raval on Youtube

accelerators

R based data science solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

acoustic_diagnosis

Source code for "Try this model to quickly tell if it is a faulty motor by listening"

activityrecognition

Data analysis on Human Activity Recognition Using Smartphones Data Set

adlawithr-gettingstarted

Getting Started with ADLA with R

ai_artist

AI Artist for Machine Learning for Hackers #5

ai_composer

AI Composer for Machine Learning for Hackers #2

alexa-sign-language-translator

A project to make Amazon Echo respond to sign language using your webcam

all-modules-archive

alpha_zero_othello

Progress towards a functional Alpha Zero that plays Othello

alphatoe

Applying the deep learning techniques from Alpha Go to play tic-tac-toe

analyzing-big-data-with-microsoft-r

android-robocar

Build your own robocar, remote-controlled or autonomous, with Android Things.

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

applied-deep-learning-with-keras

Deep Learning examples with Keras.

ardrone_autonomy

"ardrone_autonomy" is a ROS driver for Parrot AR-Drone quadrocopter. This driver is based on official AR-Drone SDK version 2.0 and supports both AR-Drone 1.0 and 2.0.

audio_analyzer

A data science approach to analyzing and comparing audio files

auto-sklearn

autoencoder_demo

Autoencoder Demo for Fresh Machine Learning #5

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

azure-machinelearning-datascience

azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

bayesian-optimisation

Finding the best parameters for any algorithm

bayesiantutorials

Code for illustrating simple Bayesian linear regression

bayeslmmtutorial

Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

bda

Course: Big Data Analytics (IDSS31165)