sree4411 commited on
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0ddc3b5
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1 Parent(s): 692d264

Update pages/3_Life Cycle Of ML Project.py

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pages/3_Life Cycle Of ML Project.py CHANGED
@@ -35,10 +35,11 @@ if st.session_state.page == "home":
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  # Data Collection Page (Triggered when "Data Collection" is clicked)
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  elif st.session_state.page == "data_collection":
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  st.title(":red[What is Data?]")
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- st.markdown("### What is Data?\nData is a collection of raw information from various sources. On its own, it may not carry any immediate meaning, but when processed and analyzed, it can be used to derive insights, make decisions, and support the development of systems across various fields, such as business, science, engineering, and more.
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-
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- In the context of Machine Learning (ML), data plays an even more pivotal role. It serves as the input for algorithms, enabling them to learn, predict, and classify based on patterns found in the data. Without data, there is nothing for the ML model to learn from, and consequently, the model cannot make any predictions or inferences.")
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- st.markdown(":red[Types of Data]: Data is divided into Three Types. - Structured, - Unstructured, - Semi-Structured")
 
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  # Button for Structured Data
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  if st.button(":blue[🌟 Structured Data]"):
 
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  # Data Collection Page (Triggered when "Data Collection" is clicked)
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  elif st.session_state.page == "data_collection":
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  st.title(":red[What is Data?]")
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+ st.markdown("""
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+ ### What is Data?\nData is a collection of raw information from various sources. On its own, it may not carry any immediate meaning, but when processed and analyzed, it can be used to derive insights, make decisions, and support the development of systems across various fields, such as business, science, engineering, and more.
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+ In the context of Machine Learning (ML), data plays an even more pivotal role. It serves as the input for algorithms, enabling them to learn, predict, and classify based on patterns found in the data. Without data, there is nothing for the ML model to learn from, and consequently, the model cannot make any predictions or inferences.
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+ """)
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+ st.markdown(":blue[Types of Data]: Data is divided into Three Types. - Structured, - Unstructured, - Semi-Structured")
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  # Button for Structured Data
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  if st.button(":blue[🌟 Structured Data]"):