So, which ML Algorithm to use?!

As a data science practitioner, you may have found yourself scratching your head when trying to choose the best machine learning algorithm for your project. With so many options available, the process can be overwhelming and confusing. But fear not, because we’re here to simplify it for you. Let’s start by answering a fundamental question: what is a machine learning algorithm trying to do? At its core, any algorithm aims to take a set of features and translate them into a useful prediction using a mathematical system unique to that algorithm. Therefore, the translation process can vary widely. So, what’s the keyword that plays a major role in selecting an algorithm? It’s simple: the features themselves. You’re just trying to choose the best algorithm (or translator) for your specific set of features. In the next section, we’ll break down the most widely known algorithms based on their general behavior. By understanding the different categories of algorithms, you’ll be well-equipped to choose the right one for your project and move forward with confidence. Say goodbye to overwhelm and hello to productivity! <a href="https://medium.com/@aaabulkhair/so-which-ml-algorithm-to-use-d2484239f448">Website</a>