In the series of implementing Recommendation engines, in my previous blog about recommendation system in R, I have explained about…
Data Intelligence, Business Analytics
I would like to know What is the importance understanding underlying data distributions in a dataset before applying any machine learning algorithm - it can be either prediction or classification…Continue
Started Aug 25, 2014
Need advice Dear Community,I have a situation, where I need to classify items into groups (lets say 6). When I ran k-means 90% of my data fall in 1 group remaining 10% fall in other groups. What's…Continue
Started this discussion. Last reply by Edmund Freeman Mar 15, 2014.
As R programming language becoming popular more and more among data science group, industries, researchers, companies embracing R, going forward I will be writing posts on learning Data science using R. The tutorial course will include topics on data types of R, handling data using R, probability theory, Machine Learning, Supervised – unSupervised learning, Data Visualization using R, etc. Before going further, let’s just see some stats and tidbits on data science and…Continue
Posted on December 29, 2015 at 9:30am — 1 Comment
Posted on November 23, 2015 at 7:04pm
Recently I have come across a term, CRISP-DM - a data mining standard. Though this process is not a new one but I felt every analyst should know about commonly used Industry wide process. In this post I will explain about different phases involved in creating a data mining solution.
CRISP-DM, an acronym for Cross Industry Standard Process for Data Mining, is a data mining process model that includes commonly used approaches that data…
Posted on October 22, 2015 at 10:59am — 2 Comments
Posted on October 7, 2015 at 9:33pm