anurag313 Goto Github PK

2015

Public material for CS109

2048

A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

2048-ai

AI for the 2048 game

2048-android

The android port of the 2048 game (for offline playing)

acg6935_wrds_sas

ACG6935 - Archival Research using WRDS/SAS

awesome-deep-learning-papers

The most cited deep learning papers

awesome-fintech

A curated list of amazingly awesome financial libraries, resources and shiny things.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

capstone

Capstone project for Data Science Specialization.

chase_project

content

Official content for Harvard CS109

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

courses

cs224d

Deep Learning for Natural Language Processing in Stanford

cs231n.github.io

Public facing notes page

data-challenges

A repository of real-world data challenges faced by organizations used for project-based learning

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

dataiap

data iap class repo

datasci_course_materials

Introduction to Data Science course.

datasciencecoursera

Test repository.

datasharing

The Leek group guide to data sharing

exdata_plotting1

Repository for "Exploratory Data Analysis" course - Plotting Assignment 1.

free-programming-books

getting-and-cleaning-data

Repository for "Getting and Cleaning Data" course project.

go

The Open Source Data Science Masters

hackingmty.github.io

Website for Monterrey's biweekly open gov hack night

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

learndatascience

Open Content for self-directed learning in data science

mit-6.00x-work

practical-machine-learning