Accelebrate's Blog

August 12, 2019 in Training Tips and Insights

Linux Certifications for Systems Administrators

Some Linux certifications have remained a staple in the marketplace and others are offering good alternatives. Here is a breakdown of certification organizations/companies and their offerings.

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June 19, 2019 in SEO

How to Use Tableau for SEO

"Content is king" the saying goes. And everyone is creating content now. Blogs. Social media posts. Articles. Videos. Infographics.  The list goes on and on.  But how do you know what content you should create?

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May 29, 2019 in Training Tips and Insights

Creating a Training Program

Creating a technical learning program can be time consuming and resource-intensive. Defining learning objectives, designing training materials, and gathering attendee feedback are just a few of the must-have's. Here is a quick, 10-step guide to help get your new program up and running successfully.

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April 08, 2019 in SEO

SEO: Featured Snippets, Rich Snippets, and Structured Data

In this article, I discuss the difference between Featured Snippets and Rich Snippets and explain how Structured Data helps Google display your search engine listings. I also discuss why all three are good for SEO.

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January 22, 2019 in Python

Pandas-monium: Analyzing Data with the Python Pandas Package (Part 2 of 2)

In Part 1, we explored some of the power offered by the pandas framework. Now we'll dive deeper into the tools such as grouping, aggregation, joins, advanced string methods and other functions.

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October 25, 2018 in Python

Pandas-monium: Analyzing Data with the Python Pandas Package (Part 1 of 2)

Tired of your fellow humans being probed by aliens? It’s time to probe back! Well, at least, probe the data on UFO sightings. To do this, we’ll show-case one of the most popular open source tools for analyzing data: the pandas package.

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October 09, 2018 in Data Science, AI/ML, and RPA

What is Big Data?

Most working definitions of Big Data do not have an explicit reference to the size of the data set. This is because the associated conceptual, software, and hardware shifts derive from several important factors aside from actual size of the data.

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September 17, 2018 in Python

Using Python to Find Fraud

We can apply machine learning to help detect credit card fraud, but there is a bit of a problem in that the vast majority of transactions are perfectly legitimate, which reduces a typical model’s sensitivity to fraud.

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September 05, 2018 in Python

What IS a Data Scientist?

If you ask four practitioners in the data space, you’ll get five opinions on what a data scientist is and does.

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June 18, 2018 in Python

Interpreting Linear Regression Results

Whether you are fairly new to data science techniques or even a seasoned veteran, interpreting results from a machine learning algorithm can be a trying experience. The challenge is making sense of the output of a given model.

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