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HEART DISEASE PREDICTION (FINAL - PROJECT).ipynb ADDED
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app.py ADDED
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+ from flask import Flask, request, jsonify, render_template
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+ import joblib
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+
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+ app = Flask(__name__)
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+
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+ # Load the model
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+ model = joblib.load('model.joblib')
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+
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+ app = Flask(__name__)
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+
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+ @app.route('/')
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+ def index():
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+ return render_template('Heart Disease Prediction System.html')
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+
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+ if __name__ == '__main__':
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+ app.run(debug=True)
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+
data_cardiovascular_risk.csv ADDED
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model.joblib ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a303653ca7f9163030064c05d945a68b01fb7431a2e8eea28a57062defeecf83
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+ size 8905385
requirements.txt ADDED
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+ beautifulsoup4==4.8.0
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+ bs4==0.0.1
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+ certifi==2019.6.16
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+ chardet==3.0.4
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+ Click==7.0
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+ Flask==1.1.1
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+ idna==2.8
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+ itsdangerous==1.1.0
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+ Jinja2==2.10.1
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+ joblib==0.13.2
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+ MarkupSafe==1.1.1
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+ nltk==3.4.5
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+ numpy==1.17.0
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+ pandas==0.25.1
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+ python-dateutil==2.8.0
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+ pytz==2019.2
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+ scikit-learn==0.21.3
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+ scipy==1.3.1
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+ six==1.12.0
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+ sklearn==0.0
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+ soupsieve==1.9.3
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+ urllib3==1.25.3
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+ Werkzeug==0.15.5