Tag: data

What’s left unsaid… gets predicted eventually !

We are living in a digital era where half of the population is carrying either of smart-phones, laptops etc. We can’t deny the fact that these electronic devices are getting more intelligent day by day. But the question which still daunts us is that how are they getting intelligent? So what do I mean by…
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PREDICTIVE ANALYSIS IN PREVENTING MISHAPS

-Summary of the article based on the transcript of Dr Data Show episode, “Five Ways Your Safety Depends on Machine Learning “ Predictive analysis is a technique of using existing data to predict what could happen in future. One application of this technique is in using predictive analysis as a norm in safety standards by guiding…
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A picture is worth a thousand words

An average person can retain 10% of what they hear when tested after 72 hours. However, when same information is shown visually they retain it up to 65%. This statistic is based on a 2008 study in the content Brain Rule Rundown. Good data visualization should engage the audience as well as improve the depth…
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Aiding the eye is important

As much as the visual needs to be expressive of the data story, it is also important to use the right combination of color schemes, fonts and overall design to make the visual eye friendly. It helps to think of your visual being read by complete novices who know nothing of data visualization, or data…
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Clustering: Grouping Data to Single Out Results

The terminology of “data mining” is sort of a red herring as the quintessential focus is to mine relevant patterns and information from that data, rather than mine the data itself. This process of data mining is carried out in 3 stages: Pre-processing Data-mining Interpretation/Validation The above template is valid for most of the data…
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Why Don’t You Explain This To Me Like I’m 5

Ironically, many of the most important steps to a compelling data viz happens before you ever add lines and colors to your canvas. The most important questions to ask yourself before creating a visualization is “why?” followed quickly by “so what?”  More often than not, you will be creating these visualizations to compel some sort…
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Reckless Commitment

Find a (data related) question you truly care of. Formulate a reckless commitment based on this question and make sure to hold yourself accountable – some audience helps. Network Find (a) mentor(s) who supports you in structuring your learning process (based on 1). Talk to people who can help you getting some additional insight regarding…
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You don’t know but you are a Data Scientist.

Being a data science learner, one thing I have observed that data science was with us since our childhood. During my childhood, I used to walk to school from my home, and there were 3 routes to reach it. I used each of these 3 routes and decided to take the one which would help…
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My Superman

“Getting inspired from someone is easy but being an inspiration to someone is a great deal” My greatest inspiration that lead me into this career streaming is Daniel Bourke. He is currently a machine learning engineer at Max Kelson. Daniel did his bachelor’s degree in food science and nutrition from The University of Queensland. After…
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My first mentor

Well, as they say life becomes much more meaningful when you have someone to look up to. I’ve come across a lot of people that have inspired me in my life, be it my mom, my sisters, the awesome LinkedIn Data community members like you (Kate Strachnyi), Randy Lao, Kristen Kehrer and many more. But…
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