Image by Author | Canva   When it comes to error handling, the first thing we usually learn is how to use try-except blocks. But is that really enough as our codebase grows more complex? I believe not. Relying solely on try-except can lead to repetitive, cluttered, and hard-to-maintain code. In this article, I’ll…

Image by Editor | Ideogram   An organization's data teams often encounter complex projects with a variety of resources and structures scattered around. As the number of projects and team members increases, the information becomes more tangled and increasingly complex to manage. This is why we need to consolidate the information in a single platform.…

Image by Editor   Machine learning (ML) algorithms are key to building intelligent models that learn from data to solve a particular task, namely making predictions, classifications, detecting anomalies, and more. Optimizing ML models entails adjusting the data and the algorithms that lead to building such models, to achieve more accurate and efficient results, and…

Image by Author   In a previous article, I explained how AI is the skill of the future, with roles that command salaries up to $375,000 annually. Large Language Models (LLMs) have become a central focus in AI, and almost every data-centric role now requires some foundational understanding of these algorithms. Whether you’re a developer…

Image by freestockcenter on Freepik   With the emergence of large language models, prompt engineering has become an essential skill. Put simply, prompting involves how humans interact with machines. Engineering the prompt suggests an effective way to communicate the requirement so that the machines’ responses are contextual, relevant, and accurate.   The Framework   The…

Image by Pexels   Machine Learning (ML for short) is not just about making predictions. There are other unsupervised processes, among which clustering stands out. This article introduces clustering and cluster analysis, highlighting the potential of cluster analysis for segmenting, analyzing, and gaining insights from groups of similar data   What is Clustering?   In…

  Image by Author   Learning how to code is learning a new language. Although you can learn it by yourself, it makes it 10 times easier when you have a teacher or a course outline to follow. Python is one of the most popular programming languages due to its simplicity. For…

  Inception of LLMs - NLP and Neural Networks   The creation of Large Language Models didn’t happen overnight. Remarkably, the first concept of language models started with rule-based systems dubbed Natural Language Processing. These systems follow predefined rules that make decisions and infer conclusions based on text input. These systems rely on if-else statements…

Image by Editor | Midjourney   Let’s learn how to perform operation in Pandas with Large datasets.   Preparation   As we are talking about the Pandas package, you should have one installed. Additionally, we would use the Numpy package as well. So, install them both.   Then, let’s get into the central part of…

Image by DALL-E   As the world of data grows, so does the world of data science. To keep up with the data science world is a full-time job in itself. The market is ever-growing and tools are developing and dropping into the market causing chaos. And then you have the problem of learning these…