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import streamlit as st |
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def land_page(): |
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_,center,_ = st.columns([2,3,2]) |
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center.markdown("<h1 style='text-align: center;'>AIViz</h1>", unsafe_allow_html=True) |
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center.write("""Machine Learning. For everyone. Now. AIViz is a platform built to let everyone perform Machine |
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Learning easily on their own data.""") |
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center.image('carott.png') |
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center.markdown("<h3 style='text-align: center;'>Use your own data</h3>", unsafe_allow_html=True) |
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center.write("You can use your own data with AIViz. All you need is clicking a button. ") |
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center.markdown("<h3 style='text-align: center;'>Understand your Data</h3>", unsafe_allow_html=True) |
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center.write("""AIViz provides a Data Exploration tool, that lets you explore all your variables. You can |
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easily visalize and understand univariate and bivariate behavior of your data. """) |
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center.markdown("<h3 style='text-align: center;'>Preprocessing</h3>", unsafe_allow_html=True) |
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center.write("""You can prepare your data for Machine Learning in just a few clicks. You can decide how |
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to handle missing values, choose which columns to use, scale your data...""") |
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center.markdown("<h3 style='text-align: center;'>Machine Learning</h3>", unsafe_allow_html=True) |
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st.latex("""The \ smartest \ carott \ of \ the \ World \\newline \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ |
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\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ |
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\ \ \ \ \ \ \ \ \ \ \ \ \ - \ us.""") |
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center.write("""The core of AIViz is Machine Learning. Now that you have uploaded and preprocessed |
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your data, you can perform Artificial Intelligence algorithms to it. We provide several |
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different algorithms, for Clustering, Classification or Regression.""") |