INTERACTIVE PLAYGROUND AND ARTICLES TO
Machine learning has become so easy to use that we've forgotten what makes it work. We treat powerful algorithms like black boxes and hope for the best. But understanding isn't optional, it's essential. This is where you peel back the layers, see the math in motion, and build the intuition that transforms users into creators. The future belongs to those who truly understand what they're building.
START EXPLORINGExplore Models From Scratch
about each of these models by reading detailed articles that break down the math, intuition, and implementation from first principles.
your own datasets to experiment with real data. See how different models perform on your specific use cases and data distributions.
with different hyperparameters and watch in real-time how they affect model behavior, decision boundaries, and predictions.
the inner workings of each algorithm. Watch gradients flow, see decision trees split, and understand exactly why models make their predictions.
At each step, we update our parameters by moving in the direction opposite to the gradient. This is expressed mathematically as:
Here, α (alpha) is the learning rate — it controls how big of a step we take with each update.