Using an iris dataset that contains measurement of iris...

Using an Iris dataset that contains measurement of iris flowers and their species classification. Write a Python for Spark that will use Decision Tree Classification for predicting the flower species based on the four measurement of iris flowers.

Transcript

00:01 Hello welcome to this lesson this lesson will load the iris data sets and we will calculate the mean separal length and separal width for each species after that we'll create a box plot to compare the distributions of the lengths so let's go on the first thing that we do is that we have to import the seaborn seaborn module will help us to load the iris data set so we say import seaborn as the next step we'll have to load the data so we load the data by saying by assigning it to a variable data we'll say the seaborn .load data set then we specify what we want to load which is the seaborn seaborn's iris okay the next step we will load module .show the data we can't very sure that we are dealing with the data that we want so this one right.

01:37 This is the actual data we are looking for with separal length and separal width and the petal length and width and the species, right the next part let's have the mean separal length so this we have mean separal length and this would have the data .groupby so we are grouping the data by the species before the species we look at the separal length we take the mean of those data after that we will print mean separal length right so let's run and see what we have so this is the data.

02:51 All right after that let's get the mean separal width so we'll say mean separal width equals to the data .groupby again this time we are grouping by species as well then we are actually looking for the separal width all right, we are taking the mean of the data then let's print the mean separal width okay, so we also have this now let's proceed lastly to look at the bus plot for the length distributions so use seaborn again then seaborn has got the bus plot function we specify y axis which will have the species now y axis which will have the separal length then the data which will have the data set from iris...

Question

Using an Iris dataset that contains measurement of iris flowers and their species classification. Write a Python for Spark that will use Decision Tree Classification for predicting the flower species based on the four measurement of iris flowers.

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