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KMeans-Clustering-Assignment

Overview

This repository contains an assignment on KMeans clustering. A dataset from Kaggle has been used to demonstrate clustering analysis.

Dataset

  • Source: Kaggle
  • File: data/your_dataset.csv
  • Description: [Brief description of dataset]

Steps Performed

  1. Data Preprocessing
  2. Exploratory Data Analysis (EDA)
  3. Applying KMeans Clustering
  4. Visualizing Clusters
  5. Analysis and Conclusions

Requirements

  • Python 3.x
  • Libraries:
    • pandas
    • numpy
    • matplotlib
    • seaborn
    • scikit-learn

Install libraries using:

pip install -r requirements.txt

About

This repository contains a KMeans clustering assignment using a dataset from Kaggle. It includes data preprocessing, exploratory data analysis, applying KMeans clustering, visualization of clusters, and an analysis report summarizing insights and conclusions.

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