Web Application for Deep Learning model generation-training-inference

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Segmentation of the Northwest Seabird Catalog (NWASC).

An ML model which uses Gaussian Mixture Model clustering to classify customers.

Materials from conference workshop

Implementasi arsitektur Segnet menggunakan Tensorflow dengan kasus Segmentasi daerah infeksi paru-paru penderita Covid-19.

This is a system that was used for the detection and segmentation of uterine fibroids using ultrasound images as the input

Repository for the Capstone Project of the MBD-PT January 2022. This repository contains several notebooks performing detailed analysis of the data, identification of Market Drivers, segmentation of stores, predictions of future sales and design of appropriate promotional strategies to extract the most value upon Beer sales in Spain

Customer segmentation

Código fuente del proyecto de materia integradora Detección de lesiones cerebrales mediante análisis de imagenes MRI(Magnetic Resonance Imaging) mediante el uso de deep learning.

This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing insights to personalize marketing, improve engagement, and boost customer retention.

The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.

E-Commerce Customer Segmentation using k-means clustering

Unsupervised Learning: Clustering using unsupervised models.

segment image objects based on color

Train Mask R-CNN for Image Segmentation

Customer segmentation for mail-orders in Germany, using unsupervised learning

CS7GV1- Computer Vision

FUSE toolkit supports fluorescent cell image alignment and analysis.

Analysis of large retailer's sales data. Customer segmentation using RFM analysis and k-means clustering