Would you voluntarily spend another five hours on this kind of problem? Why?
Machine Learning Engineering · 90–120 min
Train a tiny classifier—and challenge it
Experience baselines, evaluation and error analysis instead of model theatre.
Start the experiment01 · Setup
What you need
- Basic Python; no advanced math required.
You may stop when the timebox ends. An incomplete result is still useful evidence.
02 · Task
The work sequence
- 01
Choose a small labelled dataset and split train/test before exploring outcomes.
- 02
Train a simple baseline classifier.
- 03
Inspect a confusion matrix and five wrong predictions.
- 04
Change one feature or threshold; explain who benefits and who is harmed.
03 · Pay attention
Watch your reaction, not only the output
- Were you more curious about the model or the mistakes?
- Did uncertainty feel exciting or frustrating?
Plot twist
Difficulty does not mean the career is a bad fit. The useful question is whether curiosity returned after the difficulty.
04 · Reflect
Three honest questions
Which part gave you energy, and which part drained it?
What evidence—not a salary video—would you gather before choosing this path?
This site does not save your answers. Put them in your own notebook if useful.
05 · Where to go next