This article comes from Algobeans Layman tutorials in analytics.
Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time—we are always interested to foretell the future.
One intuitive way to make…Continue
Added by Emmanuelle Rieuf on April 29, 2017 at 3:00pm — No Comments
This article was posted by Bob E. Hayes on Customer think. Bob, PhD is Chief Research Officer at Appuri. He a scientist, blogger and author on CEM and data science.
Data scientists have a variety of different skills that they bring to bear on Big Data projects. These skills cut across Subject Matter Expertise, Technology, Programming, Math & Modeling and Statistics. One valuable…Continue
Added by Emmanuelle Rieuf on April 18, 2017 at 9:00am — No Comments
This article was contributed by Statistical Future.
Whether you want it to or not, credit and its availability plays a major role in everyone’s life, whether or not you directly experience it. For the average person, credit scores are mainly going to be used for three things: buying a house, buying a car, and using credit cards.
In the world of business, things get exponentially more complicated and it also ended up leading to a horrible housing crash and recession…Continue
This article was written by Tristan Handy. Tristan is the founder and president of Fishtown Analytics: helping startups implement advanced analytics.
I’m very confident of that, because today, everyone needs analytics. Not just product, not just marketing, not just finance… sales, fulfillment, everyone at a startup needs analytics today.…Continue
Added by Emmanuelle Rieuf on April 10, 2017 at 11:00am — No Comments
In this article was written by Michael Grogan. Michael is a data scientist and statistician, with a profound passion for statistics and programming.
In a previous tutorial, I elaborated on how an ARIMA model can be implemented using R. The model was fitted on a stock price dataset, with a (0,1,0) configuration being used for ARIMA.
Here, I detail how to implement an ARIMA model in Python using the…Continue
Added by Emmanuelle Rieuf on April 9, 2017 at 11:00am — No Comments
This overview is intended for beginners in the fields of data science and machine learning. Almost no formal professional experience is needed to…Continue
Added by Emmanuelle Rieuf on April 6, 2017 at 12:30pm — No Comments
This article was posted by S. Richter-Walsh.
A Brief Introduction:
Linear regression is a classic supervised statistical technique for predictive modelling which is based on the linear hypothesis:
where y is the response or outcome variable, m is the gradient of the linear…Continue
Added by Emmanuelle Rieuf on April 4, 2017 at 6:00pm — No Comments
This video was posted on Youtube by Sirajology. He explains the basics of recurrent neural networks. Then you code your own RNN in 80 lines of python (plus white-space) that predicts the sum of two binary numbers after training.
Code for this video:…Continue
Added by Emmanuelle Rieuf on April 4, 2017 at 12:00pm — No Comments
Added by Emmanuelle Rieuf on April 2, 2017 at 6:31pm — No Comments