About this Dataset: The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.
The columns in this dataset are: Sepal_Length Sepal_Width Petal_Length Petal_Width Species (setosa, versicolor, virginica)
Objective: Our objective is try to classify the class variable (species) with help of length and width of sepal, petals given.
Dataset Can be Found at - https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/d546eaee765268bf2f487608c537c05e22e4b221/iris.csv OR at Sklearn Package.
Kindly find the blog on the analysis: https://medium.com/@kailash7dev/classification-of-flower-types-iris-dataset-beginners-level-f022f407f5d4