Dataconomy

MARCH 4, 2025

Data analysis and interpretation After mining, the results are utilized for analytical modeling. Data visualization plays an important role in this stage, as it helps stakeholders interpret findings clearly and effectively communicate insights through compelling storytelling.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Towards AI

JULY 15, 2024

Hopefully, this article will serve as a roadmap for leveraging the power of R, a versatile programming language, for spatial analysis, data science and visualization within GIS contexts. Numerous spatial data formats, including shapefiles, GeoJSON, GeoTIFF, and NetCDF, can be read and written by these programs.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

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 92

Machine Learning Machine Learning Supervised Learning Clustering 92

ODSC - Open Data Science

JANUARY 5, 2024

Matplotlib The main benefit of Matplotlib is its stunning visualizations. Programmers most frequently utilize Matplotlib for data visualization projects. The data visualization market could reach approximately $7.76 It’s a plotting library with a vibrant community of around 700 contributors. Not a bad list right?

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

IBM Journey to AI blog

DECEMBER 19, 2023

Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

Mlearning.ai

NOVEMBER 29, 2023

K-Nearest Neighbor Regression Neural Network (KNN) The k-nearest neighbor (k-NN) algorithm is one of the most popular non-parametric approaches used for classification, and it has been extended to regression. Data visualization charts and plot graphs can be used for this.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

MAY 23, 2023

How to perform Face Recognition using KNN So in this blog, we will see how we can perform Face Recognition using KNN (K-Nearest Neighbors Algorithm) and Haar cascades. Flight Price Prediction with Flask app — with data visualizations So guys this is yet another one of the most favorite projects of mine.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52