Stage 3 of 7 · 9 lessons · ~7 weeks
Data cleaning and feature engineering
Where most of the real work in ML happens: handling missing values and outliers, exploratory analysis, encoding categories, scaling, and building features that actually carry signal.
5 more stages, 46 more topics, free with an account.
You have seen the open stages of the Machine learning roadmap. Every topic it covers is listed above, and an account opens the rest: what each topic means, a question to check yourself, the courses, the practice and Tauseef's advice for every stage. Early access is open: sign up and your account is active shortly after.
Everything here is free to learn from. A few things, like adding a roadmap, keeping a cheat sheet or asking Tauseef a question, use credits. You get 15 when you join, your first roadmap is free, and if you are learning seriously and run out, you can ask for more. Credits only make sure the platform goes to people who are actually learning.