Github is at the same time one of the most useful technologies developers use and one of the most annoying, especially for novices. I think things are compounded for beginners by having to learn terminal at the same time. …

Introduction If you are an aspiring data scientist searching for a job, you are going to end up looking in all sorts of places and industries you may not know much about. Recently through a connection, I got the opportunity to interview as a data analyst at a consulting firm. Everything…

Database management is not as sexy as a lot of the machine learning content on medium, but it is important to understand at any data science position, from the most entry-level to the most senior. Today’s blog will be about database normalization. Database normalization at its core is about organizing…

I am okay at python. I can use all the packages I know and quickly learn any that I do not. I have heard object-oriented programming (OOP) in the background a lot but it was not till recently that I took the time to fully understand why it is such…

There are some functions or methods that you know … kinda; when you think about them its fuzzy and your knowledge is not to the point where five minutes of googling can fill all the gaps. Theres are often the functions that in the heat of a project you just…

The learning rate is one of those pesky hyperparameters that as data scientists it’s our job to fine tune. It is the rate at which the weights in a model are updated based on the current error. The loss function is convex and for our purposes here continuous (If the…

There’s a common adage that data scientists spend 90% of their time cleaning data and 10% modeling. With image classifiers, it is more like 99% cleaning to 1% modeling. This is because a neural network needs images to be a standardized size. How many pictures do you come across on…

I started watching the Deep Learning lecture series for insights on how to get PyTorch up and running and the ins and outs of Neural Nets. In the process, I have learned so much more than that. Sylvian Gugger and Jeremy Howard constantly make a tangible effort to teach machine…

I recently graduated from Flatiron’s data science Bootcamp. After graduation, I certainly did not know everything, but I felt like I had a pretty good grasp on a general process and workflow. Then I started reading about neural nets extensively and saw that they were quickly becoming the answer to…