Update pages/2.Introduction to Data Science.py

pages/2.Introduction to Data Science.py

@@ -7,21 +7,16 @@ st.subheader(":red[**What do you mean by Data Science**]")
 st.write("Data Science is all about using data to find patterns, make predictions, and solve problems. It combines knowledge from fields like statistics, programming, and domain expertise to turn raw data into meaningful insights.Data Science helps us make better decisions using data.")
 st.subheader(":red[**Examples of Data Science**]")
 st.write("""
-**1.Netflix or YouTube Recommendations**
-
--Netflix uses data science to recommend shows based on what you’ve watched before.
-**2.Weather Forecasting**
-
--Predicting rain or sunny days based on historical weather data.
-**3.Fraud Detection in Banks**
-
--Detecting unusual spending patterns to prevent credit card fraud.
-**4.Sports Analytics**
-
--Analyzing players' performances to make better team strategies.
-**5.Healthcare**
-
--Predicting diseases based on patient symptoms or past data.
+- **1.Netflix or YouTube Recommendations**
+- Netflix uses data science to recommend shows based on what you’ve watched before.
+- **2.Weather Forecasting**
+- Predicting rain or sunny days based on historical weather data.
+- **3.Fraud Detection in Banks**
+- Detecting unusual spending patterns to prevent credit card fraud.
+- **4.Sports Analytics**
+- Analyzing players' performances to make better team strategies.
+- **5.Healthcare**
+- Predicting diseases based on patient symptoms or past data.
 """)