Anshini/Logistic_Regression

1import streamlit as st2import pandas as pd3import plotly.express as px4import plotly.graph_objects as go5import seaborn as sns6import matplotlib.pyplot as plt7import base648import plotly.express as px9import joblib10import cv211from PIL import Image12import tempfile13import numpy as np14 15st.title("Logistic Regression")16st.subheader("Overview")17st.markdown("Logistic Regression is a supervised Machine Learning Algorithm.")18st.markdown("It is only used for Classification and mostly used for Binary Classification")19st.markdown("However we can use it for multiclass classification witht the help of some tricks like 'One Vs Rest'.")20st.subheader("🔍 Why Logistic Regression is Called a Linear Model")21st.markdown("Because the decision boundry it learns is linear in the feature space.")22st.markdown("Here's What That Means:")23st.markdown("In logistic regression, we compute: ")24st.markdown("z= w1x1+w2x2+...+wnxn+b")25 26 27