Explore my collection of data science and machine learning articles. Each piece is crafted to share insights from my learning journey and professional experience.
How mastering the art of crafting features gave me an edge in solving real-world problems—and why it's the secret sauce every data scientist should learn.
How I learned the hard way that scaling methods can make or break your models, with practical examples from my latest project.
Exploring the most effective ways to visualize different types of data for maximum insight and impact.
A deep dive into the tragic case of Pierre and Eliza, and what it teaches us about implementing ethical safeguards in AI systems.
How much energy does a 15-minute YouTube video consume for data center cooling? An eye-opening analysis.
Fundamentals of supervised learning algorithms and their practical applications in real-world scenarios.
Exploring clustering and dimensionality reduction techniques for pattern discovery in unlabeled data.
Comprehensive guide to evaluating machine learning models using appropriate metrics and validation techniques.
From perceptrons to deep networks: understanding the building blocks of modern AI systems.
Specialized architectures for computer vision tasks and image recognition applications.
Handling sequential data with RNNs, LSTMs, and GRUs for time series and natural language processing.