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ML from Scratch — Episode 8: From Math to Code

4h ago · 4 min read · Episode 8 of ML from Scratch — a series where I implement ML algorithms from the ground up, document what I actually understand, and skip the hand-waving. Last episode, we had the math. Entropy. Info

ML from Scratch — Episode 7: How Does a Decision Tree Actually Decide?

2d ago · 5 min read · Episode 7 of ML from Scratch — a series where I implement ML algorithms from the ground up, document what I actually understand, and skip the hand-waving. There's a moment in every ML journey where y

ML from Scratch — Episode 6 : Neural Networks — Actually Built

5d ago · 9 min read · This is Episode 6 of ML from Scratch — a series where I implement ML algorithms from the ground up, document what I actually understand, and skip the hand-waving. In Episodes 4 and 5, we covered the

ML from Scratch — Episode 5: Neural Networks —Backpropagation

6d ago · 1 min read · What is Backpropagation? Backpropagation is the method we use to find the error contributed by each neuron across all layers — by moving backwards through the network from the output to the input. T

ML from Scratch — Episode 4: Neural Networks — Architecture & Forward Pass

Mar 26 · 2 min read · What is a Neural Network? Neural networks are inspired by the human brain — a system of interconnected neurons, each with weights and biases, that transforms an input into an output by passing infor