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Update app.py
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app.py
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@@ -22,6 +22,19 @@ if uploaded_file is not None:
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# Show the dataset
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st.write("Dataset:")
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st.dataframe(df)
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# Model Training Section
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# Show the dataset
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st.write("Dataset:")
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st.dataframe(df)
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# Convert categorical (str) data to numerical
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st.write("Converting Categorical Columns to Numerical Values:")
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label_encoder = LabelEncoder()
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for col in df.columns:
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if df[col].dtype == 'object' or len(df[col].unique()) <= 10:
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st.write(f"Encoding Column: **{col}**")
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df[col] = label_encoder.fit_transform(df[col])
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# Display the dataset after conversion
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st.write("Dataset After Conversion:")
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st.dataframe(df)
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# Model Training Section
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