Preporato
CoursesCertificationsLabs
Preporato
CoursesCertificationsLabs
ML practiceStep 1 of 12

NumPy and broadcasting

Arrays, shapes and broadcasting: the language every ML library speaks.

Start 5 problems

Problems

  1. 1Standardize feature columnsEasy · 8 min · 10 hidden testsSolution free
  2. 2One-hot encode class labelsEasy · 8 min · 11 hidden tests
  3. 3Distances from every query to every itemMedium · 14 min · 10 hidden tests
  4. 4Score every user against every itemMedium · 12 min · 11 hidden tests
  5. 5Top k items per rowMedium · 12 min · 10 hidden tests

Practice it at full scale

Hands-on labs on real tooling, in your browser.

PyTorch in 45 Minutes
Linear algebra for ML