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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.

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agglomerativeclustering dbscan-clustering-algorithm hierarchical-clustering kmeans-clustering-algorithm rfm-analysis

online_retail_customer_segmentation's Introduction

Hi there ๐Ÿ‘‹ I'm Vaibhav Dangar

๐Ÿ’ซ About Me:

๐Ÿ”ญ Iโ€™m currently working on Data science
๐Ÿ‘ฏ Iโ€™m looking to collaborate on ML community
๐ŸŒฑ Iโ€™m currently learning Machine learning, Deep learning, Generative AI, LLM ,AWS
๐Ÿ’ฌ Ask me about Data Science/Machine learning
โšก Fun fact - I'm funny

๐ŸŒ Socials:

LinkedIn

๐Ÿ’ป Tech Stack:

Python Java Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitLab CI Git GitHub GitLab GitHub Actions

๐Ÿ“Š GitHub Stats:



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