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 DBSCAN clustering algorithm to make clusters of weather stations of USA.
Using Python for Data Science
Predicted the spread of disease through contact tracing using Machine Learning Algorithms.
DBSCAN in Python
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
📊🎯✨ Harness the power of the RFM (Recency, Frequency, Monetary) method to cluster customers based on their purchase behavior! Gain valuable insights into distinct customer segments, enabling you to optimize marketing strategies and drive business growth. 📈💡🚀
Final Project Data Mining website detecting certain unnatural data
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'.
This a project of CSE477 & used a dataset for DBSCAN algorithm(Scratch) to find clusters
Clustering Visualizer is a Web Application for visualizing popular Machine Learning Clustering Algorithms (K-Means, DBSCAN, Mean Shift, etc.).
Clustering
Desenvolvimento dos principais modelos de aprendizado de máquina supervisionado e não-supervisionado.
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