pages/information.py

import streamlit as st
st.title("What is Data Science?")

st.write("""

**Data** is simply information. It can be numbers, text, images, or any kind of information that can be collected and analyzed. For example, the number of people who visited a store or the temperature on different days are types of data.

**Science** is the process of studying the world around us, understanding how things work, and discovering new facts. It involves observation, experimentation, and drawing conclusions based on evidence.

### Putting them together:  

**Data Science** is the field where we use data (information) and apply scientific methods (like observation and analysis) to understand patterns, make predictions, and solve problems. It combines collecting, analyzing, and interpreting data to make better decisions.

""")
st.title('Machine Learning')
st.write('''

**Machine Learning** is a subset of Artificial Intelligence. Machine Learning is a tool which mimics/copy Natural Intelligence with the ability of learning to create an Artificial Intelligence.

-The machine improves its performance over time based on the patterns it finds in the data.

- Example:

\nImagine you want a program to recognize emails as "spam" or "not spam." You provide the program with examples of both types of emails, and it learns from these examples. As it sees more emails, it gets better at predicting whether a new email is spam or not, based on the patterns it learned.

''')