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Update pages/pg.py
Browse files- pages/pg.py +8 -6
pages/pg.py
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@@ -94,6 +94,8 @@ st.markdown(
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""",
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unsafe_allow_html=True
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)
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st.markdown("<h2 style='color: #1ABC9C; font-size: 30px; font-weight: bold;'>🔹 Machine Learning: A Subset of AI</h2>", unsafe_allow_html=True)
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st.markdown("""
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@@ -110,12 +112,12 @@ st.markdown("""
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</ul>
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<p style='font-size: 24px; font-weight: bold;'>Applications:</p>
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<ul style='font-size: 24px;'>
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<li><b>Chatbots:</b> Text-based chatbots for customer support, voice-based assistants like Siri and Alexa.</li>
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<li><b>Autonomous Vehicles:</b> Tesla’s self-driving cars.</li>
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<li><b>Recommendation Systems:</b> Personalized suggestions on e-commerce platforms (Amazon, Netflix, etc.).</li>
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<li><b>Predictive Analytics:</b> Weather forecasting, traffic prediction.</li>
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<li><b>Robotics:</b> Used in automation and intelligent robots.</li>
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<li><b>Object Detection & Sentiment Analysis:</b> Used in computer vision and NLP applications like fraud detection, emotion analysis.</li>
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</ul>
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""", unsafe_allow_html=True)
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""",
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unsafe_allow_html=True
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)
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# Machine Learning
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# Section: Machine Learning
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st.markdown("<h2 style='color: #1ABC9C; font-size: 30px; font-weight: bold;'>🔹 Machine Learning: A Subset of AI</h2>", unsafe_allow_html=True)
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st.markdown("""
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</ul>
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<p style='font-size: 24px; font-weight: bold;'>Applications:</p>
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<ul style='font-size: 24px;'>
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<li style='color: #FF6347;'><b>Chatbots:</b> Text-based chatbots for customer support, voice-based assistants like Siri and Alexa.</li>
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<li style='color: #4682B4;'><b>Autonomous Vehicles:</b> Tesla’s self-driving cars.</li>
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<li style='color: #32CD32;'><b>Recommendation Systems:</b> Personalized suggestions on e-commerce platforms (Amazon, Netflix, etc.).</li>
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<li style='color: #FFD700;'><b>Predictive Analytics:</b> Weather forecasting, traffic prediction.</li>
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<li style='color: #8A2BE2;'><b>Robotics:</b> Used in automation and intelligent robots.</li>
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<li style='color: #FF4500;'><b>Object Detection & Sentiment Analysis:</b> Used in computer vision and NLP applications like fraud detection, emotion analysis.</li>
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</ul>
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""", unsafe_allow_html=True)
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