Decision Trees, Exploratory Data Analysis and K-nearest Neighbors

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Decision Trees

Exploratory Data Analysis

K-nearest Neighbors

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. Naïve Bayes algorithms include decision trees , which can actually accommodate both regression and classification algorithms.

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

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Towards AI

JULY 19, 2023

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. Feel free to try other algorithms such as Random Forests, Decision Trees, Neural Networks, etc., among supervised models and k-nearest neighbors, DBSCAN, etc.,

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Data Wrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis. Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks.

Data Analyst

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Five machine learning types to know

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