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This project consists of 3 phases which are: 1) Performing Principal Component Analysis on the IRIS data set, 2)Plotting the data points after performing Principal Component Analysis, 3)Using k-nearest neighbour method to predict the accuracy of a species falling into which class. Enjoy!

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SiddhantPanda/Data-Analytics-Gladiator

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DATA ANALYTICS GLADIATOR.ipynb
DATA ANALYTICS GLADIATOR.ipynb
 
 
README.md
README.md
 
 
_config.yml
_config.yml
 
 
plotIRIS.png
plotIRIS.png
 
 

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Data-Analytics-Gladiator

This is one of the projects assigned to me at my institution. This projected is implemented in 3 phases which are:

  1. Calculating eigen vectors & eigen values. Performing Principal Component Analysis on the IRIS data set.

2)Plotting the data points after performing Principal Component Analysis.

3)Using k-nearest neighbour method to predict the accuracy of a species falling into which class.

Enjoy!

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This project consists of 3 phases which are: 1) Performing Principal Component Analysis on the IRIS data set, 2)Plotting the data points after performing Principal Component Analysis, 3)Using k-nearest neighbour method to predict the accuracy of a species falling into which class. Enjoy!

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