Navyasri Kothuri·Sep 6Beyond the Black Box #3 : Linear Regression — How Can a Machine Predict a Number?From house prices to exam scores, Linear Regression starts with a surprisingly simple idea: find the relationship.
Elishaaminu·Aug 2I Found a Data Leak in a Public Malaria Detection Dataset — Here’s How I Fixed ItMalaria remains one of the leading causes of death in sub-Saharan Africa, and one of the most promising uses of AI in the region is…
Ritishkumarpyla·May 22The Complete Guide to Feature Selection Techniques in Machine LearningHow to choose the right features, reduce dimensionality, and build models that actually generalize — with practical Python examples.
Abed ali·Apr 11The Pattern in the NoiseIn a quiet office lit only by the glow of multiple monitors, Ayaan stared at a dataset that seemed impossible to decode. Millions of rows —…
Vinodh palli·Mar 19🚀 From Raw Data to Real Insights: My End-to-End EDA JourneyIn today’s data-driven world, collecting data is easy — extracting meaningful insights is not. That’s where Exploratory Data Analysis (EDA)…
Javier Santiago Gastón de Iriarte Cabrera·Jan 7When Nobel Prize Physics Meets Wall Street: Building a Trading Bot That Thinks Like a Neural…An In-Depth Exploration of How Hopfield Networks and Boltzmann Statistics Can Predict Market Movements
Tahasin islam·Aug 9, 2025Skewness & Kurtosis Explained: The Must-Know Stats for Every Data NerdSkewness and kurtosis are more than statistical jargon — they reveal the shape, symmetry, and tail behavior of data. In this post, we’ll…A response icon2A response icon2
InArtificial Intelligence in Plain EnglishbyPaul AJ·Aug 3, 2025Here is what I’ve learned about the technical challenges on the road to AGI!As part of my ai/ml upskilling and career pivot journey from a dev, I’m sharing what I’ve learned.
