Maths
Bayes' Theorem
Set the base rate for a rare condition and see what a positive test really means.
Every track
640 modules in 18 tracks
Each track is ordered so a module only leans on the ones before it. Open a track for its full module list, what it assumes and where it leads.
47 modules
Maths for Machine Learning
Build intuition for linear algebra, calculus, probability, and statistics with visual examples.
45 modules
Machine Learning
Explore regression, trees, SVMs, clustering, and model evaluation through hands-on experiments.
47 modules
Deep Learning
Trace neural networks, backpropagation, optimizers, and training behaviour one step at a time.
41 modules
Algorithms & Data Structures
Explore data structures, searches, sorts, graph algorithms, and problem-solving patterns.
42 modules
Natural Language Processing
Follow how text becomes tokens and vectors, then see how sequence models use attention.
48 modules
Computer Vision
Work from image filters and edges through CNNs, object detection, and segmentation.
42 modules
Databases & SQL
Practice SQL, schema design, joins, indexes, query plans, and transactions with examples.
52 modules
Generative AI & LLMs
Explore LLMs, tokenization, embeddings, vector search, and retrieval-augmented generation.
46 modules
Python
Learn Python fundamentals with runnable examples covering data types, collections, and functions.
5 modules
Async Python
See asyncio tasks overlap, blocking calls stall the loop, and queues coordinate work.
30 modules
Pydantic
Validate data with Pydantic models, constraints, custom validators, settings, and JSON Schema.
26 modules
FastAPI
Build API examples with FastAPI: routes, validation, dependencies, security, and testing.
20 modules
NumPy
Understand array shapes, indexing, broadcasting, vectorized operations, and linear algebra.
26 modules
pandas
Work with labelled data, filtering, missing values, grouping, joins, and time series.
22 modules
matplotlib
Create readable charts and learn axes, scales, labels, subplots, and annotation.
23 modules
scikit-learn
Follow scikit-learn workflows from data splits and scaling through pipelines and model tuning.
71 modules
Interview Questions
Practice coding interview patterns with runnable Python examples, from two-sum to graph search.