Update pages/introds.py
Browse files- pages/introds.py +7 -7
pages/introds.py
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import streamlit as st
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import pandas as pd
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import numpy as np
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#
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st.markdown(
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"<h1 style='text-align: center; color: Black;'>DATA SCIENCE INTRODUCTION</h1>",
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unsafe_allow_html=True
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# Main
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st.markdown(
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"""
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<
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<p>
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It combines techniques from statistics, computer science, mathematics, and domain expertise to analyze and interpret data effectively.
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In essence, data science transforms raw data into actionable insights, driving smarter decisions across industries.
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<li>Analyzing customer reviews to identify product sentiment</li>
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<li>Techniques Used: Natural Language Processing (NLP), sentiment analysis.</li>
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<li>Optimizing delivery routes for logistics companies</li>
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<li>Techniques Used: Graph algorithms, optimization techniques
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</ul>
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</div>
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import streamlit as st
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import pandas as pd
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import numpy as np
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# Add header section
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st.markdown(
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"<h1 style='text-align: center; color: Black;'>DATA SCIENCE INTRODUCTION</h1>",
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unsafe_allow_html=True
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)
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# Main content with properly formatted HTML
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st.markdown(
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"""
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<div class="section">
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<h2>What is Data Science?</h2>
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<p>
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It combines techniques from statistics, computer science, mathematics, and domain expertise to analyze and interpret data effectively.
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In essence, data science transforms raw data into actionable insights, driving smarter decisions across industries.
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<li>Analyzing customer reviews to identify product sentiment</li>
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<li>Techniques Used: Natural Language Processing (NLP), sentiment analysis.</li>
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<li>Optimizing delivery routes for logistics companies</li>
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<li>Techniques Used: Graph algorithms, optimization techniques</li>
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</ul>
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</div>
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