https://github.com/amey-thakur/tsf-unsupervised-machine-learning

Task: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
https://github.com/amey-thakur/tsf-unsupervised-machine-learning

amey ameythakur deep-learning kaggle kmeans machine-learning matplotlib matplotlib-pyplot numpy pandas python python3 the-sparks-foundation tsf

Last synced: about 2 months ago
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Task: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

• Host: GitHub
• URL: https://github.com/amey-thakur/tsf-unsupervised-machine-learning
• Owner: Amey-Thakur
• Created: 2021-07-05T11:34:48.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-13T17:32:13.000Z (10 months ago)
• Last Synced: 2024-05-14T00:23:40.647Z (8 months ago)
• Topics: amey, ameythakur, deep-learning, kaggle, kmeans, machine-learning, matplotlib, matplotlib-pyplot, numpy, pandas, python, python3, the-sparks-foundation, tsf
• Language: Jupyter Notebook
• Homepage: https://www.youtube.com/watch?v=qsO9GyGNWf0
• Size: 47.9 KB
• Stars: 7
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# THE SPARKS FOUNDATION - UNSUPERVISED MACHINE LEARNING

>**TSF - UNSUPERVISED MACHINE LEARNING TASK - 2**

 

 - **[Google Colaboratory](https://github.com/Amey-Thakur/TSF-UNSUPERVISED-MACHINE-LEARNING/blob/main/TSF_INTERNSHIP_TASK_2_UNSUPERVISED_LEARNING.ipynb)**

 

 - **[Kaggle](https://www.kaggle.com/ameythakur20/tsf-internship-task-2-unsupervised-learning)**

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 - **_Task: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually._**

## TECHNOLOGIES AND LIBRARIES USED:

 

 - Python3, Pandas, Numpy, Matplotlib.pyplot, KMeans.

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  👉🏻 Presented as a part of the Internship @ The Sparks Foundation 👈🏻  

 

 ✌🏻 Back To Engineering ✌🏻