1) Linear Regression
Learn linear regression through model training, evaluation, and visualization.
Learn. Build. Share.
A compact, hands‑on machine learning curriculum with runnable notebooks and plug‑and‑play workshops. Built by students, for students.
Beginner-friendly
Colab-enabled
Workshop-ready
Learn
Short, polished modules that explain the essentials: tensors, regressions, regularization, CNNs, and how to evaluate models.
Build
Each lesson ships with a notebook (<100 lines of core code) plus a “press play” cell. See results in minutes!
Share
Ready-to-present slides and apps so any club can run the workshop at their school.
Mini‑Courses
Six bite‑sized modules. Each tile links to slides and a runnable Colab notebook.
2) Regularization
Reduce overfitting using regularization for stable predictions.
3) K-Nearest Neighbor
Meet KNN: where predictions come from the nearby points in datasets.
4) Intro to Tensors and Numpy
Master tensors and NumPy to handle high-dimensional machine-learning data.
5) Logistic Regression
Learn logistic regression to model probabilities and classify real-world data.
6) AI Ethics
Study responsible AI practices focused on equity, safety, and human values.
Hands‑on Projects
Three fun interactive AI projects with live demos and Colab notebooks.
1) Handwritten Digit Recognition
Draw a number in the browser and the model guesses it live.
2) Tic-Tac-Toe AI
Play Tic-Tac-Toe with an optimal AI that never loses.
3) Sentiment & Emotions Detector
Type any text and instantly discover its overall sentiment and emotions.
AI4Now Live
Join our AI4Now Live sessions on Zoom to learn, build, and ask questions in real time.
Ambassadors
Want to lead a live session online or at your school?
- Download slides
- Pick 1-2 projects
- Share your date and get listed on our calendar
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