File size: 4,289 Bytes
61996df 5c3fb2c 61996df 0683b2a 61996df 934cc52 61996df 5c3fb2c c69351c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
import streamlit as st
# Custom styles
st.markdown(
"""
<style>
.stApp {
background-color: #f0f8ff;
}
.title {
text-align: center;
color: black;
font-size: 36px;
font-family: 'Arial', sans-serif;
font-weight: bold;
}
.header {
font-size: 28px;
font-family: 'Arial', sans-serif;
color: black;
font-style: italic;
font-weight: bold;
}
.content {
font-size: 16px;
font-family: 'Arial', sans-serif;
color: blue;
font-style: italic;
}
.button-row {
display: flex;
justify-content: center;
gap: 20px;
margin-top: 30px;
}
</style>
""",
unsafe_allow_html=True,
)
# Title
st.markdown("<div class='title'>General Algorithm</div><br>", unsafe_allow_html=True)
# Basic Steps
st.markdown("<div class='header'>Basic Steps</div><br>", unsafe_allow_html=True)
st.markdown("<div class='content'>1. While guiding the machine, the main guidance comes from how we preprocess our data and choose the algorithm.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>2. If we preprocess the data incorrectly and choose the wrong algorithm, it leads to bad model performance.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>3. Inside the algorithm, there will be steps that the machine must follow while learning.</div>", unsafe_allow_html=True)
# Based on the Algorithm
st.markdown("<div class='header'>Based on the Algorithm</div><br>", unsafe_allow_html=True)
st.markdown("<div class='content'>1. Identify whether the algorithm is Supervised, Unsupervised, Semi-supervised, or Reinforcement Learning.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>2. If we choose Supervised Learning, we must decide between Classification or Regression based on the problem and data.</div>", unsafe_allow_html=True)
# Preprocessing Steps
st.markdown("<div class='header'>Basic Steps Before Training</div><br>", unsafe_allow_html=True)
st.markdown("<div class='content'>1. When working with preprocessed tabular data, identify the feature variables and class variables.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'><b>Example:</b> Iris Dataset</div>", unsafe_allow_html=True)
st.markdown("<div class='content'><b>Feature Variables:</b> Sepal Length, Sepal Width, Petal Length, Petal Width</div>", unsafe_allow_html=True)
st.markdown("<div class='content'><b>Class Variable:</b> Species</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>2. Divide the entire data into feature variables and class variables.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>3. Now split the data into Training Set (DTrain) and Test Set (DTest).</div>", unsafe_allow_html=True)
# Conditions for splitting
st.markdown("<div class='header'>Conditions</div><br>", unsafe_allow_html=True)
st.markdown("<div class='content'>1. Majority of the data should be in DTrain.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>2. Minority of the data should be in DTest.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>3. Common splits are 80:20, 70:30, or 60:40.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>4. No single data point should be in both DTrain and DTest.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>5. The split should be random, without replacement.</div>", unsafe_allow_html=True)
st.markdown("<div class='content'>6. Each data point should have an equal probability of selection.</div>", unsafe_allow_html=True)
# Navigation Buttons
st.markdown("<br><br>", unsafe_allow_html=True)
col1, col2, col3, col4 = st.columns(4)
with col1:
if st.button("KNN Algorithm"):
st.switch_page("pages/1KNN Alogrithm.py")
with col2:
if st.button("Decision Tree"):
st.switch_page("pages/2Decision-Tree.py")
with col3:
if st.button("Ensemble Techniques"):
st.switch_page("pages/3Ensemble_Techniques.py")
with col4:
if st.button("Logistic Regression"):
st.switch_page("pages/4Logistic_Regression.py")
|