In this project, I have implemented several unsupervised machine learning approaches to cluster the customers.
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Updated
Jan 6, 2022 - Jupyter Notebook
In this project, I have implemented several unsupervised machine learning approaches to cluster the customers.
Using Python for Data Science
Predicted the spread of disease through contact tracing using Machine Learning Algorithms.
Cluster Visualization Tool
The main objective of this project is to group customers with similar behavior and characteristics into segments to better understand their needs and preferences. The unsupervised machine learning techniques used in this project include K-means clustering ,hierarchical clustering and DBScan Clustering.
Here applied DBSCAN algorithm to get clusters.
2022 Industry-University Collaboration Project
This repository contains all the retrieved Tweets and code used to elaborate each phase of the research methodology used in the paper 'Analyzing Food Trends on Twitter'.
Clustering
Desenvolvimento dos principais modelos de aprendizado de máquina supervisionado e não-supervisionado.
Win Rate Prediction by NBA 2K Ratings Data Analysis with K-Mean and DBSCAN Algorithm
Data Science - Clustering Work
Chapman University CPSC-392 Data Science Final Project
To Identify Major Customer Segments On Transnational Dataset Using Unsupervised ML Clustering Algorithms
An examination of Female Victimology using KMeans and DBSCAN techniques to discover patterns. Created as a capstone Project for Northwest Missouri State University.
Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.
Data Mining, Clustering and Classification
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