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To predict the optimum number of clusters on the Iris dataset using KMeans Clustering Algorithm and represent it visually.

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Gaurav15012002/Prediction-Using-Unsupervised-Machine-Learning-TSF-Task-2

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Prediction-Using-Unsupervised-Machine-Learning-TSF-Task-2

Hello everyone, this is Task-2 of Data Science & Business Analytics Internship at The Sparks Foundation.

Task:

  1. From the given 'Iris' dataset, predict the optimum number of clusters and represent it visually.

Language Used: Python

Libraries Used: Numpy, Pandas, Matplotlib, Sklearn

IDE Used: Jupyter Notebook

Dataset Used: Iris Dataset (Included in the repository)

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To predict the optimum number of clusters on the Iris dataset using KMeans Clustering Algorithm and represent it visually.

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