Update app.py
Browse files
app.py
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@@ -59,6 +59,26 @@ with st.sidebar.expander("Types of Machine Learning"):
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- [Unsupervised Learning](#Unsupervised-Learning)
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- [Reinforcement Learning](#Reinforcement-Learning)
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""")
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st.sidebar.markdown("""
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- [Popular ML Algorithms](#Popular-Machine-Learning-Algorithms)
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- [Applications](#Applications-of-Machine-Learning)
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- [Unsupervised Learning](#Unsupervised-Learning)
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- [Reinforcement Learning](#Reinforcement-Learning)
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""")
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# Sidebar for Popular Machine Learning Algorithms
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st.sidebar.header("Popular Machine Learning Algorithms")
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with st.sidebar.expander("Linear Regression"):
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st.write("A simple algorithm used for predicting continuous values.")
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with st.sidebar.expander("Logistic Regression"):
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st.write("Used for binary classification problems.")
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with st.sidebar.expander("Decision Trees"):
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st.write("A tree-like model used for both classification and regression tasks.")
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with st.sidebar.expander("K-Nearest Neighbors (KNN)"):
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st.write("A non-parametric method used for classification and regression.")
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with st.sidebar.expander("Support Vector Machines (SVM)"):
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st.write("A powerful classifier that works well for high-dimensional spaces.")
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with st.sidebar.expander("Neural Networks"):
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st.write("A set of algorithms, modeled after the human brain, that are used for complex tasks like image and speech recognition.")
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st.sidebar.markdown("""
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- [Popular ML Algorithms](#Popular-Machine-Learning-Algorithms)
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- [Applications](#Applications-of-Machine-Learning)
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