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This is a machine learning web app created using streamlit and python. deployment of machine learning algorithms is one of the main aspect to be taken care of. So here I tried to deploy the machine learning algorithm as a web app.This web app is used to classify weather the mushroom is edible or not using different algorithms like Logistic regre…

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Machine-Learning-Web-App-with-Streamlit-and-Python

This is a machine learning web app created using streamlit and python. Deployment of machine learning algorithms is one of the main aspect to be taken care of. So here I tried to deploy the machine learning algorithm as a web app.This web app is used to classify whether the mushroom is edible or not from gamous mushroom dataset using different algorithms like Logistic regression, Support Vector Machine(SVM) and Random Forest and concluding the accuracy, precision score and plotting the confusion matrix, ROC curve and Precision-Recall curve.

Note: The dataset and python file should be present in same folder. Path of the folder should be entered correctly.

To run the program just use the command "streamlit run app.py" in the command line.

Below are the screensots of my Machine learning Web App.

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This is a machine learning web app created using streamlit and python. deployment of machine learning algorithms is one of the main aspect to be taken care of. So here I tried to deploy the machine learning algorithm as a web app.This web app is used to classify weather the mushroom is edible or not using different algorithms like Logistic regre…

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