From basic data structures to Abstract Data Types — As a Data Scientist, a key part of the job is to be able to understand the best way to organise and structure data so that it can be efficiently stored or accessed depending on the task. This could be for the purpose of inputting the data into a model…

Key commands, functionality, and usage — Git is a tool that all Data Scientists and Software Engineers should know how to use. Whether you work on a project alone or as part of a large distributed team, understanding how to effectively use Git can save you a lot of time with your projects. The benefit of…

The basics of OOP for those who may not have come across the idea before or are wanting to know more — First of all, what is Object-Oriented Programming? This is what is known as a Programming paradigm, which essentially means that it is a specific way of doing something or structuring your code. What OOP means is that you structure your code around objects which is good for building frameworks and…

Applying a decision tree classifier to the iris dataset — There are plenty of articles out there that explain what a decision tree is and what it does: Decision Tree Classification A Decision Tree is a simple representation for classifying examples. It is a Supervised Machine Learning where the data…medium.com The Basics: Decision Tree Classifiers An intuition for how decision trees work and are builttowardsdatascience.com

How to run automatic testing on the push command — Testing your application is a crucial step in any software development or data science workflow. Testing allows you to ensure that the code functions as expected, reduces the likelihood of bugs or errors, and increases the overall quality and reliability of the software. In some cases though testing can often…

Can Newton’s idea of gravity be used to estimate grocery store revenue? With many different brands, formats and channels to engage with, deciding where, when and how to do your grocery shop can be a complex decision. Some of us will do a regular weekly shop at a large superstore…

The basic structure of a flask application to allow for modular development — A Data Science workflow often involves the use of notebooks and python scripts. These are great tools but it often means that your outputs can often remain in those files without seeing the light of day. A good way to change that however is by creating a website to show…

Java for Data Science Part 2 — This is the second post in a series introducing the basics of Java for Data Science. In the previous post Java was introduced as a language commonly used in Big Data and IoT applications, alongside how to create variables and use different datatypes in Java. …

Java for Data Science part 1 — Java, as a language, often doesn’t appear in the list of languages to learn for Data Science. Often that debate is left to those arguing that either R or Python is the best language to start off with. But, since Data Science encompasses a wide range of fields and applications…