Analysis and Implementation on IRIS dataset

This is the folder where iris dataset has been implemeneted with six different algorithms. Even, the EDA process has been done with the help of seaborn.

Output for KNN is as follows: Accuracy = 0.96 precision recall f1-score support

      0       1.00      1.00      1.00        25
      1       0.96      0.92      0.94        25
      2       0.92      0.96      0.94        25

avg / total 0.96 0.96 0.96 75

[[25 0 0] [ 0 23 2] [ 0 1 24]]

Following ML algorithms implementation can be visualised in other notebooks.