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According to Google, the Central Limit Theorem(CLT) states that “under many conditions, independent random variables summed together will converge to a normal distribution as the number of variables increases.” Essentially, CLT says that a distribution of sample means will approximate a normal distribution as the sample size gets larger, regardless of the original distribution.
Photo by MILKOVÍ on Unsplash With this project I set out to use the AirBnB property listing datasets for Seattle in 2016 to answer 3 questions and make 1 predictive machine learning model that could be beneficial for their business: Question 1: What is the average overall occupancy for all properties in Seattle over the course of the year? Question 2: Does it pay to be a Superhost? How do the occupancy, prices and reviews of Superhosts compare to normal hosts?
“Guys in front of a regression chart” using unDraw cutouts | Image by author What really is regression? Regression Analysis is about predicting a value or attribute of a variable based on some other variables. And linear regression is when there is only one variable you want to predict based on another single variable.
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