Not a Model Maker: My Fourteenth Week with DataraFlow
Feb 3 · 34 min read · I once questioned whether I belonged here and proved it to myself. This week, I taught a machine to think. Not in the sentient, Terminator way, but practically and elegantly, that makes you wonder why anyone ever made predictions manually (for all yo...
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Week 16 with Dataraflow: My Journey Through Advanced Machine Learning - Random Forests, Classification, and Customer Churn Prediction
Jan 26 · 25 min read · Introduction Week 16 with Dataraflow was a transformative experience in my data science journey. This wasn't just about running algorithms, it was about truly understanding the "Fail & Fix" philosophy that turns errors into powerful learning opportun...
Join discussionUnderstanding the Linear Regression OLS Technique
Jan 25 · 4 min read · Let say i have a function f(x): f(x) = 3x + 2 If we find the value at x = 2 then what is going to be the value of f(x) ? So it looks very simple right? It looks simple because we know the exact functional relationship between the x and f(x) . This is...
Join discussionData Science in Real Estate: Building an Interpretable Machine Learning Pipeline for Housing Price Prediction
Jan 21 · 8 min read · Hey there! Have you ever wondered how real estate companies estimate the value of a home? Or how they can give a ballpark figure before you even step through the door? I recently worked on a machine learning project that does just that—predicting hou...
Join discussionLinear Regression: From Intuition to Implementation
Jan 15 · 4 min read · 1. Learning Intuition Before writing any code, I focused on understanding what linear regression actually does instead of just memorizing formulas. The best fit line does not try to pass through every data point. Instead, it predicts values that wor...
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