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

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

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

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

Data Science Current

Predicting Heart Failure Survival with Machine Learning Models — Part II

Five machine learning types to know

Basic Data Science Terms Every Data Analyst Should Know

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