Boudreau

Various different Julian programming concepts that I wish I knew when starting outPhoto by Catherine Heath on UnsplashInevitably, when starting with a programming language we are all bound to run into educational hiccups along the way. These hiccups could be silly mistakes, searching all night for a solution to a bug, or simply not knowing about some syntax that could greatly benefit your code. As a Data Scientist with most of my experience being on the object-oriented or iterative side of programming, this was certainly…

Some quick tips to bring your Julia software to the next level(image by author)After using Julia for about 6 years now (wow, it really has been that long,) I have truly fallen in love with this programming language over all other programming languages. In some ways, this comes down to personal preference — multiple dispatch as a paradigm feels like an incredibly natural and intuitive way to program to me personally. However, there are also a host of advantages that utilizing this language for my projects has brought…

Venerable continuous scalers and applying them to machine-learningPhoto by Antoine Dautry on UnsplashintroductionThe most important factor in your model is always going to be your data. The data given to a model will ultimately determine how well that model performs, and thus features are an integral part to creating a model that performs really well. There are several ways to improve model validity by adjusting different aspects of the data. There are two different types of features where these sorts of alterations are…

Imperative Python! Interacting with your hardwarePhoto by Christian Wiediger on UnsplashIntroductionDeclarative programming languages are a very integral part of what has become the software of today. Declarative programming is one of the two base paradigms of programming opposite of imperative programming. With declarative programming, the goal is to draw a shade over the computer’s hardware and instead focus exclusively on the logic of the code itself. Imperative programming on the other hand will often involve a close…

An overview and story of various different preprocessing techniques, as well as where they apply in machine-learning(image by padrefilar on pixabay)A very common misconception that new and aspiring Data Scientists often have when entering the domain is that most of Data Science revolves around artificial intelligence, machine-learning, and other popular and obscure buzzwords. While many of these buzzwords are certainly different aspects of Data Science, and we really do program machine-learning models, the majority of the…