Top 10 data mining algorithms in plain English

Top 10 Data Mining Algorithms

Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper.

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 blog post as a springboard to learn even more about data mining.

What are we waiting for? Let’s get started!

History of data mining

History of Data Mining

Data mining is everywhere, but its story starts many years before Moneyball and Edward Snowden. The following are major milestones and “firsts” in the history of data mining plus how it’s evolved and blended with data science and big data.

7 habits of highly effective data analysis

7 habits of highly effective data analysis

Highly effective data analysis isn’t learned overnight, but it can be learned faster. Here are 7 habits of data analysis I wish someone told me for effectively incorporating, communicating and investing in data analysis geared towards an engineering team.

3×3 automated budget system

3x3 automated budget system

The 3×3 system is based on a simple idea:

Budgeting shouldn’t be painful or something you do every day. Budgeting is a special event that you setup once. With this system in place, you can pay bills on time, spend money worry-free and reach your financial goals.

Data analysis example – Broken link checking

Data analysis example

Learning R is easier if you can apply it to a real-world problem. Broken links are a problem for anyone who owns or maintains their own website. In this video series, I’ll step through an analysis of a broken links dataset using R.

Installing R and RStudio

Installing R and RStudio

I’m building a free online resource for R on top of my personal blog over at The basic idea is to share, learn and explore R together. Hopefully, we’ll both come out better. 🙂

Broken link checker analysis with R

Link CheckerYou’ve found a few broken links on your blog or web site, and now you wonder whether there are more. Here’s a quick way to get a sense of how big the problem is.