Update pages/1_Introduction to Data Science.py

pages/1_Introduction to Data Science.py

@@ -3,20 +3,20 @@ import streamlit as st
 st.title(":red[Introduction to Data Science]")
 st.header(":blue[1. What is Data Science?]")
 st.write("Data science is a blend of statistical analysis, machine learning, and domain expertise used to understand and interpret complex data to inform decisions and make predictions. It involves collecting, processing, analyzing, and interpreting large sets of data using programming, mathematics, and advanced analytics techniques to discover patterns and solve complex problems.")
-st.image("",width=550)
+st.image(""C:\Users\JAYASREE\Downloads\AI image.jpg"",width=550)
 
 
 st.header(":blue[2. What is Artificial Intelligence(AI)?]")
 st.write("Artificial Intelligence is nothing but it is a field, where machine is trying to mimic/copy Natural Intelligence to  create their own intelligence. So that they can perform their oen task without the help of human beings.")
 st.markdown(":red[Example:-]**  Platforms like Instagram employ AI to curate personalized content feeds by analyzing user interactions, thereby enhancing user engagement through tailored experiences.")
-st.image("https://miro.medium.com/v2/resize:fit:1400/1*-Ys9CFCuwMUusQiUhVZabA.png",width=450)
+st.image("C:\Users\JAYASREE\Downloads\AI img.we"bp,width=450)
 
 
 
 st.header(":blue[3. What is Machine Learning (ML)?]")
 st.write("Machine learning is nothing but it is a tool by using which we can mimic/copy NI where in this mimicing we are learn learinig capability. It is  a subset of artificial intelligence that allows computers to learn from data and enhance their capabilities through experience. This process involves identifying patterns and making predictions based on the data provided, rather than following pre-defined instructions.")
 st.markdown(":red[Example:-]** Machine learning algorithms can identify and classify objects within images. For instance, Google Photos uses ML to automatically categorize and label photos based on the content, such as recognizing faces or specific objects.")
-st.image("",width=500)
+st.image("C:\Users\JAYASREE\Downloads\machine-learning IMAGE.jpg",width=500)
 
 
 st.header(":blue[4. What is Deep Learning (DL)?]")