Dev-Geeks/Machine Learning Model - Deployment at main · AvinashPanchal/Dev-Geeks

Name		Name	Last commit message	Last commit date
parent directory ..
Bangalore-House-Price-prediction		Bangalore-House-Price-prediction
Book-recommender-system		Book-recommender-system
Car-Price-Prediction		Car-Price-Prediction
Game-of-throne-personality-matcher		Game-of-throne-personality-matcher
Heart Attack Risk Prediction Deployed		Heart Attack Risk Prediction Deployed
House-Price-Prediction		House-Price-Prediction
Laptop-Price-Predictor		Laptop-Price-Predictor
Movie-Recommender-System		Movie-Recommender-System
Olympics-data-analysis		Olympics-data-analysis
SMS-Spam-Classifier		SMS-Spam-Classifier
MULTIPLE_PREDICTION.py		MULTIPLE_PREDICTION.py
README.md		README.md
breastCancerDetectionWebApp.py		breastCancerDetectionWebApp.py
breast_cancer_data.csv		breast_cancer_data.csv
breast_cancer_model.sav		breast_cancer_model.sav
breast_cancer_test.py		breast_cancer_test.py
diabetes.csv		diabetes.csv
diabetesDetectionWebApp.py		diabetesDetectionWebApp.py
diabetesTest.py		diabetesTest.py
diabetes_model.sav		diabetes_model.sav
heartDiseaseDetectionWebApp.py		heartDiseaseDetectionWebApp.py
heartTest.py		heartTest.py
heart_disease_data.csv		heart_disease_data.csv
heart_model.sav		heart_model.sav
streamlitRun.txt		streamlitRun.txt

README.md

This Web Application can predict diseases such as Diabetes, Heart disease, and Breast Cancer using machine learning model.

To run this application, download all .sav files and MULTIPLE_PREDICTION.py.
In anaconda command prompt, run this : streamlit run "pathname of MULTIPLE_PREDICTION.py"