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Make it work, then make it better
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CS42org/README.md

CS42 logo

CS42 — Build · Measure · Learn

Practical AI / ML / CS projects, tutorials, and guides for learners at all levels.
cs42.org · hello@cs42.org · Instagram

🆕 New: Data Make Sins

Seven ways numbers fool people. Short posts, real news cases, pandas notebooks and animated figures, in simple English.

Survivorship bias: the bombers that came back

Open the animated page · Browse the repo · Start with the notebooks

✨ Mission

Empowering innovation through knowledge sharing. We share hands-on projects and learning resources in AI, ML, and Computer Science — rooted in the Build → Measure → Learn loop.

🧠 Focus Areas

Area What you'll find
🖼 Computer Vision Image processing, detection, practical demos
🗣 Natural Language NLP pipelines, LLM prompts & evaluation
📊 Data Analysis Visualization, metrics, evaluation workflows
🤖 Embedded Systems HW/SW integration & edge AI experiments

🔧 Tech Stack

Languages: Python Deep Learning: TensorFlow · Keras · PyTorch Computer Vision: Ultralytics / YOLO · OpenCV Classical ML: scikit-learn · XGBoost Data: Pandas · NumPy · Matplotlib · Plotly Audio: Librosa Apps & Backends: FastAPI · Tkinter Hardware / Edge: Arduino · Raspberry Pi · RoboFlow Notebooks & Envs: Jupyter · Anaconda · Google Colab

🚀 Featured Repositories

Grouped by track, ordered from first steps to advanced inside each track. Every repo has a README with setup steps, run commands, and learning goals.

📊 Data literacy

Level Repo What it teaches
🟢 Beginner data-make-sins Seven common data mistakes with real news cases, pandas notebooks and animated figures
🟢 Beginner colours-dataset Tiny two feature CSV dataset for first classification exercises (KNN, Decision Tree)

🌳 Machine learning

Level Repo What it teaches
🟢 Beginner flowers-decision-tree First supervised learning project: Decision Tree on a small flower dataset
🟢 Beginner decision-tree-g10 Classroom (Unit 9) version of the flower Decision Tree with the original activity pack
🟢 Beginner location-decision-tree Decision Tree on tabular business data: will a shop location succeed?
🔴 Advanced ml-models-comparison Benchmark KNN, DT, RF, MLP, XGBoost, and CNN on one task: accuracy vs training time

🖼 Computer vision and deep learning

Level Repo What it teaches
🟢 Beginner opencv-center-pixel First OpenCV lab: read the center pixel's BGR value from your webcam
🟡 Intermediate teachable-machine-local Run a Google Teachable Machine model locally in Python with Keras and OpenCV
🟡 Intermediate opencv-lab-activity Train a small CNN on your own image folders and classify through a Tkinter GUI
🟡 Intermediate image-classifier-gui Desktop app to train, test, and save Keras image classifiers with a live accuracy plot
🔴 Advanced cnn-image-classification End to end traffic sign classifier with train / predict / GUI modes
🔴 Advanced grad-cam-visualization Explainable AI: visualize what a CNN looks at with Grad-CAM

🧰 Apps

Level Repo What it is
🟡 Intermediate nature-sounds Tkinter + pygame ambient sound mixer (rain, birds, campfire…)

Reference forks: Keras-GAN · yolov10

📬 Stay in the Loop

Subscribe to the newsletter on cs42.org or email hello@cs42.org for collaborations and workshops.

© CS42. All rights reserved.

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  1. data-make-sins data-make-sins Public

    Seven ways numbers fool people. Short posts, real news cases, pandas notebooks and animated figures.

    Jupyter Notebook

  2. ml-models-comparison ml-models-comparison Public

    Benchmark KNN, Decision Tree, Random Forest, MLP, XGBoost, and a CNN on the Olivetti Faces dataset, comparing accuracy against training time. Notebook with side by side plots and an ipywidgets demo…

    Jupyter Notebook 1

  3. grad-cam-visualization grad-cam-visualization Public

    Explainable AI demo: apply Grad-CAM to a CNN trained on the TensorFlow Flowers dataset to visualize which image regions drive each prediction. Jupyter notebook with sample outputs.

    Jupyter Notebook 1

  4. cnn-image-classification cnn-image-classification Public

    End to end traffic sign image classifier built with Keras CNNs. Includes Jupyter and Colab notebooks, a local Python script with train / predict / GUI modes, and a pretrained model.

    Jupyter Notebook 1

  5. image-classifier-gui image-classifier-gui Public

    Desktop Tkinter app to train and test a Keras CNN image classifier from folders of images. Set image size, epochs, and test split, watch a live accuracy plot, preview predictions, and save or load …

    Jupyter Notebook 1

  6. teachable-machine-local teachable-machine-local Public

    Run a Google Teachable Machine image model locally in Python with Keras and OpenCV. Fixes the common version mismatch when loading exported keras_model.h5 files. Script and notebook included.

    Jupyter Notebook