Data Analytics

Image by upklyak on Freepik   I am sure everyone knows about the algorithms GBM and XGBoost. They are go-to algorithms for many real-world use cases and competition because the metric output is often better than the other models. For those who don’t know about GBM and XGBoost, GBM (Gradient Boosting Machine) and XGBoost…

This week on KDnuggets: Discover GitHub repositories from machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job • Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company • And much, much…

Image by Author     Having a good title is crucial for an article's success. People spend only one second (if we believe Ryan Holiday's book "Trust Me, I'm Lying" deciding whether to click on the title to open the whole article. The media are obsessed with optimizing clickthrough rate (CTR), the number of…

Image by Editor   Are you an aspiring data scientist? If so, chances are you've seen or heard of many who have successfully pivoted to a data science career. And you're hoping to make the switch someday, too. There are several things exciting about working as a data scientist. You can: Build hard and…

Image generated by Microsoft Bing     In today's world, where data drives decisions, simply creating machine learning (ML) models isn't enough. Organizations need to do more than build models — they need to successfully deploy, manage, and continuously improve these models in real-world scenarios. Imagine this: you've built a super-smart system to predict…

Image by Author   In the past few years, and especially since the appearance of ChatGPT just over 12 months ago, generative AI models for creating realistic synthetic text, images, video, and audio have emerged and have been rapidly advancing since. What began as humble research quickly developed into systems with the capacity to generate…

Image by Author   This tutorial will discuss leveraging Python’s capability to execute multithreading and multiprogramming tasks. They offer a gateway to perform concurrent operations within a single process or across multiple processes. Parallel and concurrent execution increases the speed and efficiency of the systems. After discussing the basics of multithreading and multiprogramming, we…

Image by Author     Data visualization is a crucial skill for anyone working with data. But creating beautiful, informative data viz can be time-consuming and require specialized tools. That's where ChatGPT comes in. With its latest updates, ChatGPT makes data visualization faster and easier than ever before. The latest update has improved the ChatGPT…

Image by Author   Join KDnuggets with our Back to Basics pathway to get you kickstarted with a new career or a brush up on your data science skills. The Back to Basics pathway is split up into 4 weeks with a bonus week. We hope you can use these blogs as a course…

Image by rawpixel.com on Freepik   No matter what business you are in, knowing how to analyze data is more important than ever in the data-driven era. Data analysis would enable businesses to stay competitive and provide the ability to make better decisions. The importance of data analysis drives every individual to know how…