Aug 28, 2025 · 2 min read · Hey everyone 👋 Dhairya here, Today’s focus was on one of the most fundamental ideas in probabilistic machine learning: Bayes’ Theorem and its practical use in the Naive Bayes classifier. 🔢 What I Learned Today 1. Bayes’ Theorem Formula: P(A∣B)=...
Join discussionAug 27, 2025 · 2 min read · Hey everyone 👋 Dhairya here, On Day 6, I explored the basics of probability distributions (Bernoulli, Binomial, Normal, Uniform). Today, I took it a step further and studied how these distributions are applied in actual ML models and algorithms. 🔢...
Join discussionAug 26, 2025 · 2 min read · Hey everyone 👋 Dhairya here. Before diving in — a small personal update: I had to take a 4-day break because I was feeling sick 🤒. I didn’t want to force myself and burn out, so I allowed my body to rest. I’m back now and ready to continue the chal...
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