Introduction to K Nearest Neighbors KNN

How K Nearest Neighbors Use in Classification and Regression

Euclidean Manhattan and Minkowski Distance

Decision Surface K Nearest Neighbors

Hyperparameter Bias Variance Tradeoff in K nearest Neighbors

Weighted K Nearest Neighbour

Why Machine Learning Models Need Large Datasets

Curse of Dimensionality

Problem with K Nearest Neighbours

KNN Code on Amazon Mobile Dataset

KNN Code on Cardio Dataset

Coordinate Geometry Mathematics Basics and Terminology Required for Logistic Regression

Linear Algebra Basics Required for Logistic Regression

Sigmoid Function Logistic Regression

Introduction to Logistic Regression

Problem with Distance Measure in Logistic Regression

Loss Function Logistic Regression

Regularization in Logistic Regression

Hyperparameter Bias Variance Tradeoff in Logistic Regression

Solving Optimization Problem Logistic Regression