K-Nearest Neighbors
Step-by-Step Tutorials
Implement k-Nearest Neighbors From Scratch
Step-by-step Python code to build KNN: distance functions, neighbor selection and prediction on Iris.
→k-Nearest Neighbors (kNN) in Python
Hands-on guide using NumPy and scikit-learn: load data, fit KNeighborsClassifier and tune k.
→KNN Classification with scikit-learn
Beginner-friendly walk-through: train/test split, model training, prediction and confusion matrix.
→Video Tutorials
KNN Explained Step by Step (with Python Code)
Live coding using scikit-learn: load Iris data, fit KNN classifier, make and evaluate predictions.
KNN Algorithm Explained (Python Walkthrough)
Step-by-step implementation: calculate Euclidean distances, choose k, fit neighbors and compute accuracy.
KNN Classification in Python with scikit-learn
Hands-on guide: split data, train KNeighborsClassifier, predict labels and visualize results.