Machine Learning Classification Model for classifying Flowers( setosa, versicolor, virginica)
To Built this model I have used a Packages like numpy, pandas, seaborn, matplotlib for data handling and visualization. I have found that 'petal_width' and 'petal_length' are sufficient to built this model. and Finally built this model with RandomForest Classifier to predict. :) Also tried to predict with Logistic regression.
If I am Wrong please let me Know.... thankyou :)