Top 10 data mining algorithms in plain English. Once you know what they are, how they work, what they do and where you can find them, my hope is you’ll have this […]
Top 10 data mining algorithms in plain English
So Long Scrum, Hello Kanban
Stormpath recently made the big shift from Scrum to Kanban. While we love Agile principles, the Scrum process wasn’t working for us. Kanban made our team more efficient, happier, and increased our […]
What the heck are “Predictive Models”?
Predictive modeling (#PredictiveAnalytics) does not lie solely in the domain of Big Data Analytics or Data Science. I am sure that there are a few “data scientists” who think they invented predictive […]
Seven Analytics Lessons I’ve Learned (So You Don’t Have To)
Be prepared to Wrangle – When dealing with “big data” (#bigdata), about 2/3 of you project time is spent getting access to the data, getting the right data, preprocessing the data, and […]
A 12 Step Approach to Analytical Modeling
Define the problem – Defining the problem is necessary. Defining the “right” problem is absolutely critical, otherwise you’re just wasting everyone’s time. However, the customers you are working for may not know […]
Predictive Analytics: the skills and tools required
Several weeks ago I posted an article called, What is Predictive Analytics, describing what it is. In the present article, I want to talk about the skills and tools that one should […]
INFOGRAPHIC: Cheat Sheet for Exploratory Data Analysis in Python
Source: analyticsvidhya.com Link: Cheat Sheet for Exploratory Data Analysis in Python
INFOGRAPHIC: Data Visualization – Choosing the Right Chart
Source: labnol.org Link: Data Visualization – Choosing the Right Chart
INFOGRAPHIC: Quick Guide on SAS vs R vs Python
Source: analyticsvidhya.com Link: Quick Guide on SAS vs R vs Python
INFOGRAPHIC: How To Choose A Statistical Model
Source: aureusanalytics.com Link: How To Choose A Statistical Model
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