Exploratory Data Analysis, K-nearest Neighbors and Support Vector Machines

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Exploratory Data Analysis

K-nearest Neighbors

Support Vector Machines

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Deep Learning : A subset of Machine Learning that uses Artificial Neural Networks with multiple hidden layers to learn from complex, high-dimensional data. E Ensemble Learning: A technique combining multiple models to improve a Machine Learning system’s overall performance and robustness.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

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. among supervised models and k-nearest neighbors, DBSCAN, etc., Motivation The motivating question is— ‘What are the chances of survival of a heart failure patient?’.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

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Five machine learning types to know

Basic Data Science Terms Every Data Analyst Should Know

Predicting Heart Failure Survival with Machine Learning Models — Part II

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