Upload 5 files

app.py

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+# import libraries
+import streamlit as st
+import numpy as np
+import pandas as pd
+
+# import modules
+import eda
+import prediction
+
+
+PAGES = {
+    "EDA": eda,
+    "Prediction": prediction
+}
+
+st.sidebar.title('Navigation')
+selection = st.sidebar.radio("Go to", list(PAGES.keys()))
+page = PAGES[selection]
+page.app()

eda.py

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+# import libraries
+import streamlit as st
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+def app():
+    st.title('Exploratory Data Analysis')
+
+    df = pd.read_csv('P1G5_Set_1_wilson.csv')
+
+    st.write(df)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab086f63a4e22723c68e048998120b499d450a3ee18d349dccc1020856928b0
+size 132719

prediction.py

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+# import libraries
+import streamlit as st
+import numpy as np
+import pandas as pd
+
+def app():
+    st.title('Prediction for Default Payment on the Next Month')