Kiln

Documentation

Algorithm & Dataset Matrix

Every core ML algorithm FAANG interviews expect — mapped to real datasets and tools.

Tabular

Datasets
Titanic · Breast Cancer · Wine Quality
Algorithms
Logistic Regression, SVM, kNN, Naive Bayes, Decision Tree, Random Forest, Gradient Boosting, Ridge, Lasso, SVR
Tools
scikit-learn · Kaggle CSV

Unsupervised

Datasets
Iris · Digits
Algorithms
k-Means, DBSCAN, Agglomerative, PCA + kNN/SVM
Tools
scikit-learn · OpenCV

Vision

Datasets
Fashion-MNIST
Algorithms
Flatten + Random Forest, MLP, CNN (3 conv blocks)
Tools
Keras · OpenCV augment

Detection

Datasets
Hard Hat Workers (Roboflow Universe)
Algorithms
YOLOv8n vs YOLOv8s
Tools
Ultralytics · OpenCV viz

Open in Colab

GPU path for Keras CNN and YOLO training.

01 tabular titanic02 unsupervised digits03 keras fashion mnist04 roboflow yolo hardhat

CLI reference

kiln-benchmark --track all --seed 42
kiln-benchmark --track tabular
kiln-benchmark --track vision --epochs 5
kiln-benchmark --track detection   # Colab recommended
Read full methodology →