Update pages/Life Cycle Of Machine Learning.py
Browse files
pages/Life Cycle Of Machine Learning.py
CHANGED
@@ -5,13 +5,15 @@ import pandas as pd
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st.header(":red[**Life Cycle Of Machine Learning Project**]")
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st.write(":blue[Click the button below to explore detailed steps involved in an ML project:]")
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if st.button("Problem Statement"):
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st.write("""
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- What the problem is
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- Why solving it is important
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- What data is available
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- What the expected outcome will look like
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""")
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st.write("""
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- **Predicting House Prices:**
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- Problem: We want to predict the price of houses based on features like size, location, number of bedrooms, etc.
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- Why: This helps buyers make informed decisions and real estate agents price houses correctly.
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st.header(":red[**Life Cycle Of Machine Learning Project**]")
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st.write(":blue[Click the button below to explore detailed steps involved in an ML project:]")
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if st.button("Problem Statement"):
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st.write("""
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A problem statement in machine learning defines the specific issue you want to solve using data and machine learning techniques. It should clearly explain:
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- What the problem is
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- Why solving it is important
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- What data is available
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- What the expected outcome will look like
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""")
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st.write("""
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Examples of ML Problem Statements:
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- **Predicting House Prices:**
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- Problem: We want to predict the price of houses based on features like size, location, number of bedrooms, etc.
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- Why: This helps buyers make informed decisions and real estate agents price houses correctly.
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