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data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-notebooks

Data Science jupyter notebooks

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/

data-science-toolbox

Start doing data science in minutes

data-scientists-guide-apache-spark

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

data-visualization

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).

data_science

datacollect

A collection of tools to collect and download various data.

datasci_course_materials

Public repository for course materials for the Data Science at Scale Specialization at Coursera

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

datasciencepython

common data analysis and machine learning tasks using python

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningprojectworkflow

Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016

deeplearningstars

Top Deep Learning Projects based on their Stars!

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepwalk

DeepWalk - Deep Learning for Graphs

depthmapx

depthmapX is a multi-platform Spatial Network Analysis Software

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

distributed-machine-learning

PySpark, Databrick, h2o, MLlib

dive-into-machine-learning

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

docx_pdf_to_txt_parser

dsbda-btech

This is about the course Data Science and Big Data Analytics taught to BTech VIII th semester MPSTME Shirpur

dssg2016-sensingthecensus