IntermediateMatrix multiplication in NumPy: @ vs *, and the shape error everyone hits
Why A @ B and A * B give completely different answers, what "shapes not aligned" really means, and the one rule that makes matrix shapes click for good.
Data
Loading, cleaning and reshaping data with pandas and NumPy — including the array shapes that trip everyone up.
Intermediate
BeginnerWhat matrices actually do in machine learning
Your dataset is a matrix, a model is a matrix, and training is matrix multiplication repeated. Six operations, drawn out, with the ML job each one does.
IntermediateClean a messy CSV with pandas before you train anything
Ten pandas fixes for the problems every real dataset has: broken headers, duplicate rows, mixed types, silly outliers and inconsistent categories.
Newsletter
Get new articles
Free essays on learning, Python, and ML — no account required. We’ll only email when there’s something worth reading.