Cross Validation, Exploratory Data Analysis and K-nearest Neighbors

Unlocking the Power of KNN Algorithm in Machine Learning

Pickl AI

MARCH 26, 2024

Nevertheless, its applications across classification, regression, and anomaly detection tasks highlight its importance in modern data analytics methodologies. The K Nearest Neighbors (KNN) algorithm of machine learning stands out for its simplicity and effectiveness. What are K Nearest Neighbors in Machine Learning?

K-nearest Neighbors

K-nearest Neighbors Machine Learning Machine Learning Algorithm

Predicting Heart Failure Survival with Machine Learning Models — Part II

Towards AI

JULY 19, 2023

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. In our exercise, we will try to deal with this imbalance by — Using a stratified k-fold cross-validation technique to make sure our model’s aggregate metrics are not too optimistic (meaning: too good to be true!)

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

Data Science Current

Unlocking the Power of KNN Algorithm in Machine Learning

Predicting Heart Failure Survival with Machine Learning Models — Part II

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