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In the real world, we often come across scenarios which requires to make decisions that result into finite outcomes, like
The first predictive model that an analyst encounters is Linear Regression. A linear regression line has an equation of the
Is the purpose of analytics or data science to draw some insights from data or some cool visualization or is it just a recommendation
Predictive modeling is a formula that transforms a list of input fields or variables into some output of interest. Feature
Human beings try to find patterns to explain the reason behind almost every phenomenon, but that doesn't mean that there
Being a sci-fi movie buff, I would always wonder if my variables could turn into Autobots just like the movie
In Part I, we learnt the basics of Linear Regression and in Part II, we have seen that testing the
In the part 1 and part 2 of the series, we looked at ways to compare numerical variables and categorical variables.
In the previous article, we looked at some of the ways to compare different numerical variables. In this article, we
In the first part, we had discussed that the main task for building a multiple linear regression model is to
How often have you come across the idiom "Comparing apples and oranges". It is a great analogy to articulate that two things can't
In the previous article, we discussed how sampling could turn your Big Data to Smart Data and briefly laid out
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