In my latest Codecademy project I was assigned to use Python and sklearn’s KNeighbor algorithm to find the attributes that could potential make a tweet go viral. But first a quick rundown on what is K nearest-Neighbor (KNN). KNN is a great way to classify data. KNN takes in data points, and uniquely categorizes them […]
In the second part of my Codecademy project I was assigned to build an Naive-Bayes algorithm to tell whether a tweet someone wrote originated from either NYC, London, or Paris. Not gonna lie that sounds hella cool, but before I carry on what is a Naive-Bayes algorithm? NBA is a popular classification machine learning algorithm […]
In my latest article on data science I’ll go deep into using Seaborn. A visual module in python that charts different graphs for us. For my data-set I’m going to use the micro-loan nonprofit group Kiva to get a peek into how loans are distributed. If you want to follow along or find some other […]