We will segment customers based on their purchasing behavior patterns using a modified LRFM metric to create more more targeted and personalized promotions.

Isabelli do 1D com ajuda de Clara do 2C

Júlia e Nicoly do 1D com a ajuda de Clara do 2C

Unleash the power of AI in your terminal with Clara ! 🌟 Revolutionising script automation with GPT-3.5 (and soon, GUVI-GPT & Llama2), this tool is a game-changer for developers who crave efficiency with a dash of fun. Whether you're coding in Python 🐍, planning for Go, or scripting in JavaScript, let AI do the heavy lifting.

Cool Module manager for Laravel

In this project the Turkey Student Evaluation dataset which in question consists of feedback from students who attended multiple courses at Gazi University, Ankara used.To analyze the questions we used unsupervised learning methods, which involve finding patterns or groupings in a given dataset without any labeled output variable.

It's a package containing functions that allow you to create your own color palette from an image, using mathematical algorithms

People do shopping to fulfill their needs. Regardless of the shopping styles, every shopping activity has a specific purpose or mission.

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

This Repo contains some applications of Unsupervised learning methods, used for Clustering analysis, Dimension Reduction, and Association Rules.

Implementing machine learning by comparing the accuracy of the clustering algorithm on turbine gas emissions

VEV model from Mclust among 5 clustering algorithms has optimal performance and detected 8 distinct groups of users. Data was cleaned, standardized and feature-selected, PCA’s biplot, Ggplot, Radar plots, and parallel coordinate plots were applied for EDA.

Bomberman clone in Clojure/ClojureScript

Visualization of many Clustering Algorithms, via Notebook or GUI

Some codes based on NVIDIA Clara SDK