datarekha

ML Engineer

Build, train, and deploy models — the skillset most teams actually need.

12–18 weeks Intermediate → Advanced 194 lessons
Certificate · awaiting completion
0 / 194 lessons · 0%

Finish all lessons, then sign in to claim a downloadable certificate.

Curriculum

  1. 1

    Python

    41 lessons

    From syntax to production AI apps — the language for everything.

    Explore section
  2. 2

    NumPy

    14 lessons

    The numeric foundation of the entire data stack.

    Explore section
  3. 3

    Pandas

    13 lessons

    The de-facto tool for tabular data in Python.

    Explore section
  4. 4

    Math for ML

    37 lessons

    Linear algebra, calculus, and probability with code.

    Explore section
  5. 5

    Machine Learning

    33 lessons

    Trees beat neural nets on most tabular problems — and other truths.

    Explore section
  6. 6

    Deep Learning

    28 lessons

    Neural networks from scratch — the core, no fluff.

    Explore section
  7. 7

    MLOps

    28 lessons

    Ship models, not notebooks.

    Explore section
Skip to content