app.py

import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import seaborn as sns
import matplotlib.pyplot as plt
import base64
import plotly.express as px
import joblib
import cv2
from PIL import Image
import tempfile
import numpy as np

st.title("Logistic Regression")
st.subheader("Overview")
st.markdown("Logistic Regression is a supervised Machine Learning Algorithm.")
st.markdown("It is only used for Classification and mostly used for Binary Classification")
st.markdown("However we can use it for multiclass classification witht the help of some tricks like 'One Vs Rest'.")
st.subheader("🔍 Why Logistic Regression is Called a Linear Model")
st.markdown("Because the decision boundry it learns is linear in the feature space.")
st.markdown("Here's What That Means:")
st.markdown("In logistic regression, we compute: ")
st.markdown("z= w1x1+w2x2+...+wnxn+b")