shubham680 commited on
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c7ef059
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1 Parent(s): bdd836e

Update app.py

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  1. app.py +16 -2
app.py CHANGED
@@ -69,18 +69,32 @@ The relationship between input and output can be expressed as a function:
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  """)
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  st.latex(r"f(x_i) = y_i")
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  st.markdown("""
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  For machines to learn this function, they need two things:
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  - **Data** (data contains x and y where x are feature variables and y is class variable)
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  - **Algorithms** (used to capture the relationships between x and y)
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- <u><b>NOTE:</b></u> The data given to the machine learning model should be **structured**, if not then needs to be be converted to structured format.
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  Machine Learning can be categorized into:
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  1. Supervised Learning
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  2. Unsupervised Learning
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  3. Semi-Supervised Learning
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- """)
 
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  # About the Author
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  st.markdown(
 
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  """)
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  st.latex(r"f(x_i) = y_i")
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+ # st.markdown("""
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+ # For machines to learn this function, they need two things:
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+ # - **Data** (data contains x and y where x are feature variables and y is class variable)
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+ # - **Algorithms** (used to capture the relationships between x and y)
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+
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+ # # <u><b>NOTE:</b></u> The data given to the machine learning model should be **structured**, if not then needs to be be converted to structured format.
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+
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+ # Machine Learning can be categorized into:
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+ # 1. Supervised Learning
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+ # 2. Unsupervised Learning
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+ # 3. Semi-Supervised Learning
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+ # """)
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+
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  st.markdown("""
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  For machines to learn this function, they need two things:
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  - **Data** (data contains x and y where x are feature variables and y is class variable)
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  - **Algorithms** (used to capture the relationships between x and y)
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+ <u><b>NOTE:</b></u> The data given to the machine learning model should be **structured**; if not, then it needs to be converted to a structured format.
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  Machine Learning can be categorized into:
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  1. Supervised Learning
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  2. Unsupervised Learning
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  3. Semi-Supervised Learning
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+ """, unsafe_allow_html=True)
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+
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  # About the Author
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  st.markdown(