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/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
bkg6/2014
Official content for the Fall 2014 Harvard CS109 Data Science course
bkg6/2015-04-25-rstatsnyc-ebola
bkg6/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bkg6/awesome-public-datasets
An awesome list of high-quality datasets in public domains (on-going).
bkg6/data-wrangling-pycon
Repository for Introduction to Data Analysis at EuroPython 2015
bkg6/data.table
R's data.table package extends data.frame. More info:
bkg6/data_hacking
Click Security Data Hacking Project
bkg6/datasharing
The Leek group guide to data sharing
bkg6/dplyr
Plyr specialised for data frames: faster & with remote datastores
bkg6/free-data-science-books
Free resources for learning data science
bkg6/ggplot2movies
What the package does (one paragraph).
bkg6/hands-on-analysis-python
PyCon 2015
bkg6/kaggle_insults
Kaggle Submission for "Detecting Insults in Social Commentary"
bkg6/LearnDataScience
Open Content for self-directed learning in data science
bkg6/networkx-tutorial
Twitter Network Analysis with NetworkX
bkg6/notebooks
Some sample IPython notebooks for scikit-learn
bkg6/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
bkg6/probability_cheatsheet
A comprehensive 8-page probability cheatsheet that covers a semester's worth of introduction to probability.
bkg6/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
bkg6/pwr
Basic functions for power analysis in R
bkg6/pycon-2015
bkg6/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
bkg6/readr
Read flat files (csv, tsv, fwf) into R
bkg6/sklearn_pycon2015
Materials for my Pycon 2015 scikit-learn tutorial.
bkg6/slidify
Generate reproducible html5 slides from R markdown
bkg6/Spoon-Knife
This repo is for demonstration purposes only.
bkg6/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
bkg6/statlearning-notebooks
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
bkg6/tm
:exclamation: This is a read-only mirror of the CRAN R package repository. tm — Text Mining Package. Homepage: http://tm.r-forge.r-project.org/