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Prediction using Unsupervised ML-Kmeans Clustering

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TSF-Task-2

Prediction using Unsupervised ML-Kmeans Clustering

The Iris dataset is clustered into 3 different clusters based on their features and also visually represented using a scatterplot. The most popular unsupervised learning algorithm, K-Means Clustering is used for this purpose here. Also, the elbow method is used to determine the number of optimal number of clusters.