Data science is one of the most influential and in-demand fields there is. While data scientists need to have a strong background in applied math and statistics, they also need to be able to program. Programming is a crucial knack…
Do you want to ace your next interview for a machine-learning role? If so, then you’ll probably need to practice with LeetCode. LeetCode is a website where you can practice coding questions for interviews. It is also a great place…
It’s a common misconception during model building that your goal is about getting the perfect, most accurate model on your training data. In reality, this is often not the case. Creating a model that knows the training data too well…
Data is the heart and soul of machine learning. Without data, data scientists cannot create impactful machine-learning algorithms (duh). While this seems pretty standard, the type of data makes a huge difference when trying to perform data analysis. And sometimes, when we…
Machine learning is a vast and complex field that covers many different concepts. While there is some jargon to get up and running in machine learning, some of the ideas behind this jargon are very simple. This guide will focus…
Machine learning is a vast and complex field that has inherited many terms from other places all over the mathematical domain. It can sometimes be challenging to get your head around all the different terminologies, never mind trying to understand…
As I’m sure you know, Machine learning is the process by which a computer system can learn from past events to recognize patterns to predict the future. With this comes some dense math and some exciting concepts. In machine learning,…
Instance-based learning is a machine learning technique that relies on storing and recalling instances or examples of training data. You may have also heard of instance-based learning, referenced as memory learning or lazy learning. This is for a good reason,…
One common task you will encounter while working in machine learning is clunky datasets that need cleaning. This involves dealing with inconsistencies and errors in the data and data that wouldn’t “make sense” for our models in their current form.…
If you’re new to machine learning or want a quick refresher on what get_dummies does, you’ve found the right place. This blog post will quickly give an overview of what get_dummies is and how it can be used correctly in…