alexamansalva Goto Github PK

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

awesome-r

A curated list of awesome R frameworks, packages and software.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

d3

A JavaScript visualization library for HTML and SVG.

data-design

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data_science_delivered

Observations from Ian on successfully delivering data science products

dataanalysistools

Data Analysis Tools Coursera

datasciencecoursera

Repositoty course The Data Scientist’s Toolbox

datascienceresources

Open Source Data Science Resources.

datasharing

The Leek group guide to data sharing

dc.js

Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

django

The Web framework for perfectionists with deadlines.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

free-data-science-books

Free resources for learning data science

free-programming-books

globalmigration

visualization of global migration flows

go

The Open Source Data Science Masters

h2o

h2o = fast statistical, machine learning & math runtime for bigdata

labs

Scripts for HarvardX courses: PH525x

learndatascience

Open Content for self-directed learning in data science

logisticregression

Logistic Regression

matplotlib

matplotlib: plotting with Python

parselmouth

An object-oriented interface for abstracting away the ugly parts of ad server APIs

programming-sas

personal SAS code repository

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media