Dataconomy

MARCH 4, 2025

By utilizing algorithms and statistical models, data mining transforms raw data into actionable insights. The data mining process The data mining process is structured into four primary stages: data gathering, data preparation, data mining, and data analysis and interpretation.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

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., Data Preparation Photo by Bonnie Kittle […] among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

PyImageSearch

SEPTEMBER 16, 2024

Anomaly detection ( Figure 2 ) is a critical technique in data analysis used to identify data points, events, or observations that deviate significantly from the norm. Similarly, autoencoders can be trained to reconstruct input data, and data points with high reconstruction errors can be flagged as anomalies.

Clustering 56

Clustering Algorithm Machine Learning Machine Learning 56

Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Data quality significantly impacts model performance. K-Nearest Neighbors), while others can handle large datasets efficiently (e.g., It offers extensive support for Machine Learning, data analysis, and visualisation.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52