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A dataset about mushrooms was analysed to classify them as edible or poisonous. The application is developed on streamlit and deployed with docker and heroku.

drishapp.herokuapp.com/
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drishti-agarwal/Mushroom_Toxicity_Analysis

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.streamlit
.streamlit
 
 
__pycache__
__pycache__
 
 
env
env
 
 
Dockerfile
Dockerfile
 
 
Procfile
Procfile
 
 
README.md
README.md
 
 
cap.jpg
cap.jpg
 
 
datacleaning.py
datacleaning.py
 
 
f.py
f.py
 
 
feature_selection.py
feature_selection.py
 
 
gill3.jpg
gill3.jpg
 
 
gills.csv
gills.csv
 
 
heroku.Dockerfile
heroku.Dockerfile
 
 
heroku_startup.sh
heroku_startup.sh
 
 
image1.jpg
image1.jpg
 
 
lr_mod.py
lr_mod.py
 
 
lr_model.sav
lr_model.sav
 
 
model.py
model.py
 
 
mushroom.csv
mushroom.csv
 
 
mushroomatt.csv
mushroomatt.csv
 
 
project.py
project.py
 
 
ran_fo_model.sav
ran_fo_model.sav
 
 
random_forest_mod.py
random_forest_mod.py
 
 
requirements.txt
requirements.txt
 
 
svc_mod.py
svc_mod.py
 
 
svc_model.sav
svc_model.sav
 
 

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Mushroom_Toxicity_Analysis

A dataset about mushrooms was analysed to classify them as edible or poisonous. The application is developed on streamlit and deployed with docker and heroku. link to the website- https://drishapp.herokuapp.com/

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A dataset about mushrooms was analysed to classify them as edible or poisonous. The application is developed on streamlit and deployed with docker and heroku.

drishapp.herokuapp.com/

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python heroku docker machine-learning plotly matplotlib streamlit pydeck

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