Analyse data, then model it
Python and the data stack, exploratory analysis, and machine learning, from preparing features to validating and tuning models.
5 stages · 15 topics · 164 lessons
Statistics, probability, linear algebra and calculus for ML. Coming soon.
The language and the array library everything else builds on.
Up next · Stage 03With arrays in hand, move to tables.
Shape tabular data and see what it says.
Up next · Stage 04Put wrangling and charts together into a full analysis.
Describe, question and clean a dataset end to end.
Up next · Stage 05Once you understand the data, learn to predict from it.
Algorithms, feature engineering, validation and tuning.
Real projects built with the skills on this roadmap.