ML Algorithms from Scratch on Iris Dataset
ML Algorithms from Scratch on Iris Dataset: a task in termgrade-bandcentral-gemma4-31b-bash: TermGrade Band-Central: the 151-task selection and its splits (Harbor dataset). Implement three core ML algorithms from scratch — k-Nearest Neighbors classification, Logistic Regression with gradient…
The task
Implement three core ML algorithms from scratch — k-Nearest Neighbors classification, Logistic Regression with gradient descent (using one-vs-rest for multiclass), and k-Fold Cross Validation — using only NumPy and Pandas. No ML libraries (such as sklearn) may be used for the algorithm implementations themselves.…