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In today’s blog post, we shall look into time series analysis using R package – forecast. Objective of the post will be explaining the different methods available in forecast package which can be applied while dealing with time series analysis/forecasting.
A time series is a collection of observations of well-defined data items…Continue
No predictive model is going to be 100% accurate unless by chance. The nature of predictive modeling is to learn from the past and see into the future. Essentially, predictive modeling is just modeling. Think about why we use statistical models - so we can fit the data into a pattern of behavior and anticipate future results. It's all about how you use and interpret this model.
Crime analysts may use a tool similar to the following example on a robbery…Continue
Added by Nicole on September 5, 2013 at 12:00pm — No Comments
Here is the preface for Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
By Eric Siegel, with a foreword from Tom Davenport
(Wiley, February 2013)
To order the book:…
Added by Eric Siegel on February 8, 2013 at 6:30am — No Comments
There are four key data visualization techniques used by data analysis pros in the government and local law enforcement. As financial institutions, e-commerce organizations and social network analysts begin to apply data visualization more frequently, these techniques will help guide the process of uncovering meaningful insights hidden within mountains of disparate data. This post focuses on advanced data visualization using relationship graphs.
In our last post…Continue
Added by Ben Hinchliffe on May 26, 2009 at 7:30am — No Comments