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UNSUPERVISED MACHINE LEARNING\n\n\u003e**TSF - UNSUPERVISED MACHINE LEARNING TASK - 2**\n \n - **[Google Colaboratory](https://github.com/Amey-Thakur/TSF-UNSUPERVISED-MACHINE-LEARNING/blob/main/TSF_INTERNSHIP_TASK_2_UNSUPERVISED_LEARNING.ipynb)**\n \n - **[Kaggle](https://www.kaggle.com/ameythakur20/tsf-internship-task-2-unsupervised-learning)**\n\n---\n\n - **_Task: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually._**\n\n## TECHNOLOGIES AND LIBRARIES USED:\n \n - Python3, Pandas, Numpy, Matplotlib.pyplot, KMeans.\n\n---\n\n\u003cp align=\"center\"\u003e \u003cb\u003e 👉🏻 Presented as a part of the Internship @ The Sparks Foundation 👈🏻 \u003cb\u003e \u003c/p\u003e\n \n\u003cp align=\"center\"\u003e\u003ca href='https://github.com/Amey-Thakur/COMPUTER-ENGINEERING', style='color: greenyellow;'\u003e ✌🏻 Back To Engineering ✌🏻\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famey-thakur%2Ftsf-unsupervised-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famey-thakur%2Ftsf-unsupervised-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famey-thakur%2Ftsf-unsupervised-machine-learning/lists"}