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Readme

The repository contains various data analysis techniques applied on various datasets.

Datasets used are:

  1. Iris
  2. MtCars
  3. Superstore

Analysis techniques include:

  • Supervised clustering, Outlier analysis, Graph simulations, Un-supervised learning techniques, Correlation calculation etc.

  • Libraries used for data visualisation are matplotlib, Seaborn, Plotly.

  • Other frequently used libraries are: scipy,sklearn,pandas,numpy etc.