I have created this webapp using streamlit which can classify whether a mushroom is poisonous or edible. Various types of alorithm selections include Logistic Regression, Random Forest Classifier, Support Vector Machine. The libraries used are Matplotlib, Pandas, Sklearn, Numpy.
-
Notifications
You must be signed in to change notification settings - Fork 0
I have created this webapp using streamlit which can classify whether a mushroom is poisonous or edible. Various types of alorithm selections include Logistic Regression, Random Forest Classifier, Support Vector Machine. The libraries used are Matplotlib, Pandas, Sklearn, Numpy.
License
Manak1299/Binary-Classification-web-app
About
I have created this webapp using streamlit which can classify whether a mushroom is poisonous or edible. Various types of alorithm selections include Logistic Regression, Random Forest Classifier, Support Vector Machine. The libraries used are Matplotlib, Pandas, Sklearn, Numpy.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published