Blog

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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The four things nobody would tell you

Having come a long way from where I had started my Data Science journey, I realise there is not one MOOC/book, which would enlighten an individual with everything one needs to know about Data Science. But there are few intangible details, condensed in four points, which would be essential to just anybody. Here it goes:…
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Hackathons–to filter outliers

Now a days, whenever I go through Google suggested articles in my browser there is at least one topic about online Machine Learning Hackathons going on and most of the Hackathon organizers are giving job/interview opportunity as a prize to the winners. Have you ever wondered why companies are arranging Hackathons? Hackathon is used as…
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Need of Polynomial Regression.

Linear Regression is one of the most used techniques for fitting a straight line to a linear data and is given by: Y = θ‌0 + θ1x where,                                                                                                                                                                                                  θ‌0 is the bias term which is the y-intercept of line                                …
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Switching from Linear to Polynomial Regression

In the field of Machine Learning, Regression is a common term used to define the prediction values of Continuous Dependant Variable. Depending upon distribution of data, we can determine whether to use linear regression or non-linear regression. Linear regression is used when the relationship between dependant and independent variable is linear. When it comes to non-linear…
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Polynomial regression- Absence of a perfect model to get a job

This is my first submission to #datacatedweekly and possibly my first article. I am currently on a job hunt in analytics and for this article I will present a scenario of using polynomial regression for the same. Gone are the times where you are considered for an interview based on single factor. Today, there are…
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Bread -> Butter and Beyond – Data Mining in Supermarkets

Have you ever visited a nearby Supermarket ? Whats next item placed near bread, its butter/milk…but why next item ? why it cannot be placed to somewhere else ? The reason is intuition, right, as soon as you pull out any item, our eyes looks to closest items nearby, and even if you don’t have…
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Matt Dancho – My Daily Inspiration.

“Focus on leveling up your skills. And you will go far.” The inspiring words said by none other than Matt Dancho have resonated with me ever since. Getting to know Matt via LinkedIn and being his student in his two wonderful data science courses are part of what makes my learning journey to become a…
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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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