Nextjs Netflix Cluster with Tensorflow converting a kmeans cluster model to tensorflowjs that is .json

This project dives deep into customer sales data to uncover valuable insights for business decision-making. It leverages machine learning and time-series forecasting to predict customer churn, forecast product demand, and segment customers based on their purchasing behavior.

A CLI tool to find the dominant colours in an image 🎨

clustering of night time satellite images and depicting them by use of different colors

This repository contains code for creating ml model for clustering

Scan Tailor Experimental is an interactive post-processing tool for scanned pages.

Simple visualisation of the k-means clustering algorithm

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

BICO is a fast streaming algorithm to compute coresets for the k-means problem on very large sets of points.

Implementation of the FLS++ algorithm for K-Means clustering.

Efficient Implementation of Kmeans++ Algorithm

Clustering high-dimensional data with Minkowski distance

Data processing utilities in keras3

K-means clustering algorithm using MapReduce.

This project implements a machine learning-based recommendation system similar to Spotify's. It predicts a user's likelihood of repeatedly listening to a song within a set timeframe

Optimal univariate k-means clustering using dynamic programming

analyze the shopping behaviors and demographic profiles of customers visiting a mall using various clustering techniques.

A curated list of Best Artificial Intelligence Resources

Data Science Content from DNC School

This project classifies images from the Flower102 dataset using k-means clustering followed by K-Nearest Neighbors (KNN) classification. It optimizes KNN parameters to achieve high accuracy, with the best results obtained using 7 clusters and 5 nearest neighbors.