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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

chatterbot

ChatterBot is a machine learning, conversational dialog engine.

coursera-sna

Lecture Materials & Video (march 2013)

coursera_machine_learning

Programming Assignment for Coursera Machine Learning Course

datasciencecoursera

datasharing

The Leek group guide to data sharing

debjyoti

debpaul.github.io

dimensionality-reduction-lle

Local Linear Embedding with Kmean and Without Kmeans

django_chatterbot

An example django project using ChatterBot

frontend-nanodegree-resume

graph-api-python-implementation

It is a detailed graph API in Python

how-to-train-your-neural-network

Sharing my classroom experience

is13

RNN for Spoken Language Understanding

movieapp1

my-app-portfolio

Android Nanodegree Project 0

neu-ir-doc-vec

practical-machine-learning

This course will focus on developing the tools and techniques for understanding, building, and testing prediction functions. These tools are at the center of the Data Science revolution. Many researchers, companies, and governmental organizations would like to use the cheap and abundant data they are collecting to predict what customers will like, what services to offer, or how to improve people's lives. The emphasis of this course is hands on learning and implementation. If you like what you learn in this class, there are a large number of other Machine and Statistical Learning MOOCs that you can use to deepen your knowledge of the technical and mathematical details. Please see the course syllabus for information about the quizes, the project, due dates, and grading. Don't forget to say hi on the message boards. The community developed around these courses is one of the best places to learn and the best things about taking a MOOC!

regression-models

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist's toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.

rnnlib

A recurrent neural network library for sequence learning problems.

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

timekeeper

A nifty tool to keep track of the user activity on the computer