Auto Added by WPeMatico
The yearly GATE exam is right around the corner. For some this was a long time coming—for others, a last minute priority. Whichever group you belong to, preparation would be the only focus for you now. This article is here to assist with those efforts. A curated list of GATE DA learning material that would […]
Among the most valuable roles in the corporate world today, data science enjoys a pole position with just a handful of alternatives that can even match its scale. Record-breaking salaries are being paid to data scientists across the globe for their highly unique skill set, as well as the massive impact they bring to the
10 Highest Paying Companies in India for Data Science Roles Read More »
Data science hiring in 2026 looks nothing like it did three years ago. Earlier, data science roles mostly required you to analyse spreadsheets at length. But come 2026, and now companies are looking for builders of machine learning systems, GenAI pipelines, and production-grade models that have a real impact on business metrics. Easy to guess,
Among all the tools that a data scientist has, it is difficult to find one that has received a reputation as an effective and trustworthy tool like XGBoost. It was even mentioned in the winning solution of machine learning competitions on a site such as Kaggle, which you have probably visited. This isn’t by accident.
Getting Started with XGBoost: A Beginner-Friendly Tutorial Read More »
In deep learning, classification models don’t just need to make predictions—they need to express confidence. That’s where the Softmax activation function comes in. Softmax takes the raw, unbounded scores produced by a neural network and transforms them into a well-defined probability distribution, making it possible to interpret each output as the likelihood of a specific
Implementing Softmax From Scratch: Avoiding the Numerical Stability Trap Read More »
Data science powers decision-making across modern businesses, from data preparation and automation to advanced analytics and machine learning. Learning it requires a strong foundation in mathematics, statistics, programming, and practical problem-solving. The good news is that data science can be self-learned with the right resources and consistent practice. Books remain one of the most effective
Ever felt lost in messy folders, so many scripts, and unorganized code? That chaos only slows you down and hardens the data science journey. Organized workflows and project structures are not just nice-to-have, because it affects the reproducibility, collaboration and understanding of what’s happening in the project. In this blog, we’ll explore the best practices plus look at a sample project
How to Structure Your Data Science Project (With Frameworks & Best Practices) Read More »
Power BI is an influential tool, shaping raw data into informative visuals and reports. With a user-friendly interface and formidable functionalities, Power BI is an invaluable platform for individuals to refine their skills through hands-on projects. By engaging in Power BI practice projects, beginners and experts can significantly augment their prowess. In this article, we
There is no shortage of resources available online and offline when it comes to learning Python. However, not all Python books are created equal. Some are best suited for beginners, while others are designed for experienced programmers or learners with specific goals. In this article, I have curated the best Python books across different categories
15 Best Python Books for Beginners to Advanced Learners [2026 Edition] Read More »
Most conversations between decision makers and data professionals begin back-to-front If you’re a decision maker who wants to make the best use of data and other information resources, such as artificial intelligence (AI), to support your decisions, chances are that conversations between you and your data analysts is happening back-to-front. Data analysts should encourage us
Guest Post: The Backwards Conversation (part 1 of a series) Read More »
