This video contains Machine learning complete project of flower classification on iris dataset. #machine learning #project #classifaction algorithm #datsets #code
Bro I think you forget to put data set and source code link in the description 2:18 data set analysis Project start from 6:50 11:57 Separating the column from the list 12:42 splitting the column 14:22 algo module 1 17:14 algo module 2 17:55 algo module 3
The Last test you have done with your input is correct or not check that ... I'll check after learning cause I don't know that much python as machine learning .
Iris flower Dataset is very common can be found in anywhere on google just by simple search. archive.ics.uci.edu/ml/machine-learning-databases/iris/ gist.github.com/curran/a08a1080b88344b0c8a7
I think, it's because there is an update to the new data. I make some amendment based on the code in the video: I wrote this in [2] # columns = ['Sepal length', 'Sepal width','Petal length', 'Petal width','Class_labels'] df = pd.read_csv('iris.data')#,names=columns) df.head() Then in [4] sns.pairplot(df,hue = 'species') Hope, this helps.
