Data Analytics

Image by Author | Canva   Ever run a Python script and immediately wished you hadn’t pressed Enter? Debugging in data science is not just an act; it’s a survival skill — particularly when dealing with messy datasets or devising prediction models on which actual people rely. In this article, we will explore the basics…

Image by Editor   In data science and machine learning, raw data is rarely suitable for direct consumption by algorithms. Transforming this data into meaningful, structured inputs that models can learn from is an essential step — this process is known as feature engineering. Feature engineering can impact model performance, sometimes even more than the…

Image by Author | ChatGPT   Introduction   Python's built-in datetime module can easily be considered the go-to library for handling date and time formatting and manipulation in the ecosystem. Most Python coders are familiar with creating datetime objects, formatting them into strings, and performing basic arithmetic. However, this powerful module, sometimes alongside related libraries…

Image by Author | Ideogram   We’ve all spent the last couple of years or so building applications with large language models. From chatbots that actually understand context to code generation tools that don't just autocomplete but build something useful, we've all seen the progress. Now, as agentic AI is becoming mainstream, you’re likely hearing…

Image by Author | ChatGPT   The Data Quality Bottleneck Every Data Scientist Knows   You've just received a new dataset. Before diving into analysis, you need to understand what you're working with: How many missing values? Which columns are problematic? What's the overall data quality score? Most data scientists spend 15-30 minutes manually exploring each…

Image by Author | Canva   Everyone and their dogs are trying to enter the tech industry, whether by learning to program, entering product management, or some other direction. I am pretty new to the tech industry, with only 5 years of experience, but as I speak to more individuals, some are worried about getting…

Image by Author   Claude Opus 4 is Anthropic's most advanced and powerful AI model to date, setting a new benchmark for coding, reasoning, and long-running tasks. It can autonomously handle complex, multi-hour tasks, maintaining focus and delivering exceptional results over thousands of steps. In this tutorial, we will learn how to use Claude Opus…

Image by Author | Canva   If you’ve spent months (or years!) building an app, extension, script or SaaS, and you’re ready to cash out instead of running a company, good news: There are now dozens of marketplaces where you can list a completed project and find a buyer. These range from full startup acquisition…

Image by Author | Ideogram   Reinforcement learning algorithms have been part of the artificial intelligence and machine learning realm for a while. These algorithms aim to pursue a goal by maximizing cumulative rewards through trial-and-error interactions with an environment. Whilst for several decades they have been predominantly applied to simulated environments such as robotics,…