Clustering, Exploratory Data Analysis and K-nearest Neighbors

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Clustering

Exploratory Data Analysis

K-nearest Neighbors

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

A Guide to Unsupervised Machine Learning Models | Types | Applications

Pickl AI

JULY 17, 2023

Therefore, it mainly deals with unlabelled data. The ability of unsupervised learning to discover similarities and differences in data makes it ideal for conducting exploratory data analysis. Market-Based Analysis can be considered a typical example of an Association rule.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Clustering

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

C Classification: A supervised Machine Learning task that assigns data points to predefined categories or classes based on their characteristics. Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

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Five machine learning types to know

A Guide to Unsupervised Machine Learning Models | Types | Applications

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