Browsing: Business & Startups

Image by Author   # Introduction  As a machine learning practitioner, you know that feature selection is important yet time-consuming work. You need to identify which features actually contribute to model performance, remove redundant variables, detect multicollinearity, filter out noisy features, and find the optimal feature subset. For each selection method, you test different thresholds, compare results, and track what works. This becomes more challenging as your feature space grows. With hundreds of engineered features, you will need systematic approaches to evaluate feature importance, remove redundancy, and select the best subset. This article covers five Python scripts designed to automate the…

If you have ever looked at a professional spreadsheet, you must have noticed titles spanning across multiple columns. That is the most essential and widely used example of a popular Excel function called Merge. Continuing our Excel 101 series, we shall explore the Cell Merge function today. We shall understand what it allows us to do, how to use it, and what the absolute essentials are that we should keep in mind while using it. Because anyone who has used cell merge will tell you that more often than not, its use gives you a solid pushback from Excel. Starting…

The development of a modern web application can be a complicated puzzle. You have to do user authentication, maintain a database, and enable third-party provisions, such as maps. This process often takes days of coding. However, what if you could create a data-driven app just by describing it in a prompt? Now it is a possibility with the use of Google AI Studio. In this article, we shall demonstrate how dominant the new Firebase Authentication integration and Google Maps data are in AI features in the platform. We will discuss how one comprehensive prompt can build a full-stack AI app.…

Image by Author | Canva   # Introduction  Data analysis problems aren’t really unique. However, “though your problems are non-unique, that doesn’t make them go away,” to paraphrase Neil Young. What will make them go away? Realizing that, beneath the surface, most of them rely on a handful of reusable patterns. I’ll show you those patterns, so you can then reuse them in your work or job interview, no matter the data or industry. Data is always just that — data. All the patterns will be in PostgreSQL based on the coding interview questions on StrataScratch. Then I’ll tie them to…

Claude Skills is the latest AI tool that targets AI automation at some level. Anthropic was smart enough to identify one key problem developers face every day – having to rewrite prompts for repetitive tasks. So, packaging it in the form of “Skills”, Claude brings a new way to store these prompts or instructions, so you don’t have to type them in every time. In simple terms, Claude Skills are designed to turn repeated instructions into reusable capabilities. Instead of stuffing everything into long prompts, you can package instructions, scripts, and supporting resources into a structured module that Claude loads…

Image by Editor   # Introduction  The intersection of declarative programming and data engineering continues to reshape how organizations build and maintain their data infrastructure. A recent hands-on workshop offered by Snowflake provided participants with practical experience in creating declarative data pipelines using Dynamic Tables, showcasing how modern data platforms are simplifying complex extract, transform, load (ETL) workflows. The workshop attracted data practitioners ranging from students to experienced engineers, all seeking to understand how declarative approaches can streamline their data transformation workflows. Traditional data pipeline development often requires extensive procedural code to define how data should be transformed and moved between…

Teams across companies lose meeting notes and action items after discussions. This guide builds a lasting fix: an AI Meeting Summarizer and Action Planner using Claude Code with MCP. It processes transcripts into structured summaries with tasks, decisions, and calendar invites, connects to Google Calendar and Gmail, and stores everything in SQLite. MCP acts as a universal adapter between Claude and external systems, keeping integrations consistent. In this article, you’ll learn how to build and run this integrated workflow end to end. What Is the Model Context Protocol (MCP)? The Model Context Protocol (MCP) enables Claude to interact with external…

Image by Author   # Introduction  The fastest way to make an artificial intelligence (AI) app genuinely useful is to connect it to live web data. That usually means giving it the ability to search the web, extract content from pages, and generate grounded answers based on current information. When an app can do that well, it becomes far more practical, relevant, and reliable. This article looks at seven free-to-start web application programming interfaces (APIs) that can help developers build smarter machine learning workflows with real-time web access. These tools make it easier to bring live retrieval into local agents, coding…

Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability.  This guide compiles over 20 solved projects across AI domains, from basic machine learning to advanced generative AI and agentic systems. The tools and libraries used for creating them have also ben mentioned to assist in picking the right project. Phase 1: Generative AI & Autonomous Agents Show recruiters you can build “Agentic” systems that go beyond simple chat interfaces. 1. IPL Team Win Predictor (Agentic)…

Image by Author   # Introduction  AI has moved from simply chatting with large language models (LLMs) to giving them arms and legs, which allows them to perform actions in the digital world. These are often called Python AI agents — autonomous software programs powered by LLMs that can perceive their environment, make decisions, use external tools (like APIs or code execution), and take actions to achieve specific goals without constant human intervention. If you have been wanting to experiment with building your own AI agent but felt weighed down by complex frameworks, you are in the right place. Today, we…