Jan 1 · 3 min read · For Day 22 of the Advent of Cyber, I completed the "Command & Carol" mission, which focused on Command and Control (C2) detection. This challenge introduced a specialized tool called Rita (Real Intelligence Threat Analytics) to hunt for malicious bea...
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Nov 5, 2025 · 4 min read · Imagine you’re moving to a small apartment, but you have an entire room filled with books, clothes, and gadgets. You can’t take everything (I face this issue most often myself), so you have to decide: Keep only the most important things Leave behin...
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Sep 5, 2025 · 8 min read · Principal Component Analysis (PCA) is a powerful machine learning technique used for dimensionality reduction. At its core, PCA leverages fundamental concepts from linear algebra and statistics to transform a complex dataset into a simpler, lower-dim...
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Jul 29, 2025 · 3 min read · PCA: PCA (Principal Component Analysis) is used for feature extraction, especially when feature selection isn't helpful — for example, when the features are not strongly correlated with the target or when we can't remove any features without losing i...
Join discussionJul 12, 2025 · 3 min read · “PCA doesn’t just reduce dimensions — it reveals the core structure of your data.”— Tilak Savani 🧠 Introduction In the world of machine learning, more features don't always mean better models. High-dimensional data can be: 🌀 Hard to visualize ...
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Feb 6, 2025 · 19 min read · Introduction Performance appraisal is a regular review of an employee’s job performance and overall contribution to a company. It evaluates an employee’s attitude, knowledge, skills, commitment, achievements, etc. Organizations use performance apprai...
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Jan 31, 2025 · 25 min read · 1. Introduction In the competitive banking industry, understanding customers' behavior and needs is critical for delivering personalized services, enhancing customer satisfaction, and improving profitability. By leveraging machine learning techniques...
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Jan 27, 2025 · 7 min read · HR Analytics What gets measured gets managed. What gets managed gets executed. -Peter Drucker Global organizations with workforce analytics and planning outperform all other organizations by 30% more sales per employee. -CedarCrestone Research Surve...
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Dec 8, 2024 · 27 min read · You will learn about PCA and how it can be leveraged to extract information from the data without any supervision using two popular datasets: Breast Cancer and CIFAR-10. Principal component analysis (PCA) is a linear dimensionality reduction techniqu...
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Sep 9, 2024 · 6 min read · Introduction Welcome back to the eighth blog post in our Machine Learning series! Today, we're diving into Principal Component Analysis (PCA), a powerful tool for dimensionality reduction. PCA simplifies complex datasets while keeping as much informa...
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