Pickl AI

JULY 17, 2023

It aims to partition a given dataset into K clusters, where each data point belongs to the cluster with the nearest mean. It works iteratively by updating cluster centers and reassigning data points until convergence. Unsupervised learning has advantages in exploratory data analysis, pattern recognition, and data mining.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. Several data mining and neural network techniques have been employed to gauge the severity of heart disease but the prediction of it is a different subject. Deciding which machine learning algorithms to use in hybrid models is critical.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195