ianweatherhogg : statistics   519

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Measuring HTTP response times with cURL | OpsTips
Without getting out of your current shell and installing other utilities, give cURL a try to measure response times - it can do it.
curl  http  statistics  dns
september 2018 by ianweatherhogg
Prophet - Time series prediction | Hardik Patel
Predicting daily (and intraday) volume is a classic time series problem in finance. We try to use the Prophet library for this task.
python  probability  statistics  face  book  stan  predictive
december 2017 by ianweatherhogg
An Introduction to Statistical and Data Sciences via R
An open-source and fully-reproducible electronic textbook bridging the gap between traditional introductory statistics and data science courses.
book  free  statistics  r
october 2017 by ianweatherhogg
Analyzing One Million robots.txt Files
Insights gathered from analyzing the robots.txt files of Alexa's top one million domains.
robot  text  statistics  levenshtein  python  5*
september 2017 by ianweatherhogg
Home and away preferences in the Premier League
football  r  statistics
june 2017 by ianweatherhogg
An Introduction to Stock Market Data Analysis with R (Part 1) | Curtis Miller's Personal Website
This is my first article in a two-part series introducing stock data analysis using R.
march 2017 by ianweatherhogg
Data.gov.sg Blog
Official blog for Data.gov.sg, the Singapore government’s open data portal
blogs  python  statistics  government
december 2016 by ianweatherhogg
Time Series Analysis (TSA) in Python - Linear Models to GARCH — BLACKARBS LLC
Post Outline
* Motivation
* The Basics
o Stationarity
o Serial Correlation (Autocorrelation)
o Why do we care about Serial Correlation?
* White Noise and Random Walks
* Linear Models
* Log-Linear Models
* Autoregressive Models - AR(p)
* Moving Average Models - MA(q)
* Autoregressive Moving Average Models - ARMA(p, q)
* Autoregressive Integrated Moving Average Models - ARIMA(p, d, q)
* Autoregressive Conditionally H...
python  time  series  statistics  probability  5*
december 2016 by ianweatherhogg
Bayesian Methods for Hackers
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
book  free  ipython  python  bayes  statistics  probability  5*
august 2016 by ianweatherhogg
eddelbuettel (Dirk Eddelbuettel)
eddelbuettel has 108 repositories written in R, C++, and Shell. Follow their code on GitHub.
github  r  cpp  c  trading  library  statistics
february 2016 by ianweatherhogg
Julia Statistics
GitHub is where people build software. More than 12 million people use GitHub to discover, fork, and contribute to over 31 million projects.
github  julia  statistics
january 2016 by ianweatherhogg
Designing Flexible Pie Charts With CSS and SVG — Smashing Magazine
You can design flexible, maintainable pie charts with CSS transforms and hacking animation-delay or SVG stroke-dasharray. Lea Verou shows how.
css  statistics  math
november 2015 by ianweatherhogg
Computational Methods in Bayesian Analysis | IPython Notebooks | plotly
Marianne2's interactive graph and data of "UK coal mining disasters (per year), 1851--1962" is a line chart; with Year in the x-axis and Disaster count in the y-axis..
python  ipython  note  book  bayes  markov  chain  statistics  5*
june 2015 by ianweatherhogg
Data Analysis and Statistical Inference - Week 1 - Maurício Linhares' ramblings
technology blog about ruby, scala, java, software engineering and programming in general
statistics  helloworld  data  transformer
may 2015 by ianweatherhogg
Reactive LDA Library | Kifi Engineering Blog
ReactiveLDA is a lightweight implementation of the LDA algorithm. It is written in Scala, and uses Akka actors to perform parallel Gibbs sampling.
scala  akka  math  statistics
april 2015 by ianweatherhogg
Napkin Folding Blog – DataOrigami
Sister blog of Data Origami: Machine Learning, Data Science, Statistics and Python.
python  machine  learn  statistics  probability  ipython  5*
march 2015 by ianweatherhogg
Using pandas on the MovieLens dataset
Part three of a three part introduction to the pandas library for Python. It is geared towards SQL users, but is useful for anyone wanting to get started with pandas.
python  ipython  note  book  pandas  statistics  data  analytics
december 2014 by ianweatherhogg
Basics of Statistical Mean Reversion Testing - QuantStart
Describes how to identify a mean reverting price series for use in algorithmic trading strategy research via the Augmented Dickey Fuller test
quant  trading  strategy  average  test  math  python  statistics
november 2014 by ianweatherhogg
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