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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March 14, 2019 0

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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March 13, 2019 0

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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March 11, 2019 0

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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March 5, 2019 0

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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February 28, 2019 0