Finish

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3285dab16afcc2620f841aa6497613f61014a2f8809033abc631e9af489bbe0
+size 6119

model.py

@@ -0,0 +1,10 @@
+import joblib
+import numpy as np
+
+model = joblib.load('titanic_model.pkl')
+
+# Define inference function
+def predict(features):
+    features_array = np.array(features).reshape(1, -1)
+    prediction = model.predict(features_array)
+    return int(prediction[0])

requirements.txt

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+scikit-learn
+joblib
+numpy