Xray AI Lab
Learn data cleaning with Python and pandas: fix text, dates, types, duplicates and missing values with a tested pipeline you can check against ground truth.
Discover a structured deep learning roadmap covering math prerequisites, environment setup, and dedicated tracks for computer vision, NLP, and generative AI.
A beginner-friendly roadmap to the mathematics behind machine learning: linear algebra, geometry, calculus, probability, and optimization, and how they connect.
Learn Python for data science from scratch: core syntax, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, a student scores project, and a learning roadmap.
Learn Python with worked examples: functions, lambdas, recursion, classes, number problems, series, and patterns, plus 28 graded exercises with solutions.
Understand convolution and pooling with runnable NumPy examples, then build, train, and evaluate a CNN image classifier in PyTorch (with a Keras version).
