Pinned Repositories
2014
Official content for the Fall 2014 Harvard CS109 Data Science course
2015-04-25-rstatsnyc-ebola
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
amazon-review-scraper
amazon_scraper
Provides content not accessible through the standard Amazon API
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-public-datasets
An awesome list of high-quality datasets in public domains (on-going).
content
Official content for Harvard CS109
d3
A JavaScript visualization library for HTML and SVG.
bkg6's Repositories
bkg6/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
bkg6/amazon_scraper
Provides content not accessible through the standard Amazon API
bkg6/d3
A JavaScript visualization library for HTML and SVG.
bkg6/DataScienceResources
Open Source Data Science Resources.
bkg6/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
bkg6/dragonfly
bkg6/fuzzywuzzy
Fuzzy String Matching in Python
bkg6/gganimate
Create easy animations with ggplot2
bkg6/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
bkg6/ipython-notebooks
Repository of IPython notebooks
bkg6/ISLR-ESL
Notes for the books by Stanford Professors
bkg6/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
bkg6/Kaggle
bkg6/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
bkg6/kohonen
:exclamation: This is a read-only mirror of the CRAN R package repository. kohonen — Supervised and Unsupervised Self-Organising Maps
bkg6/ML_algorithms
This repository contains all the basic algorithms in python
bkg6/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
bkg6/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
bkg6/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
bkg6/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
bkg6/plotly
Create interactive web graphics from R via plotly's JavaScript graphing library
bkg6/plotly.js
The open source javascript graphing library that powers plotly
bkg6/python-goose
Html Content / Article Extractor, web scrapping lib in Python
bkg6/readingpapers
A guide to reading scientific papers
bkg6/Sebastian-ML
Notes and codes for the Machine Learning book by Sebastian R
bkg6/sklearn-pandas
Pandas integration with sklearn
bkg6/som
bkg6/somoclu
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
bkg6/SOMPY
A Python Library for Self Organizing Map (SOM)
bkg6/tensorflow
Open source software library for numerical computation using data flow graphs.