Update pages/Intro_DS.py

pages/Intro_DS.py

@@ -10,7 +10,7 @@ st.markdown(
     "</p>", 
     unsafe_allow_html=True
 )
-st.markdown("<h2 style='text-align: center; color: Black;'>Key Aspects of Data Science</h2>",  unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: left; color: Black;'>Key Aspects of Data Science</h2>",  unsafe_allow_html=True)
 st.markdown(
     "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
     "<b style='color: Black;>Data Collection:</b> Acquiring data from many different sources, such as database servers,web scraping, and APIs.<br>"
@@ -22,7 +22,7 @@ st.markdown(
     "</p>", 
     unsafe_allow_html=True
 )
-st.markdown("<h2 style='text-align: center; color: Black;'>Skills Required for Data Science</h2>", unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: left; color: Black;'>Skills Required for Data Science</h2>", unsafe_allow_html=True)
 st.markdown(
     "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
     "<b style='color: Black;'>Programming Skills:</b> Proficiency in Python, R, SQL, and other programming languages.<br>"
@@ -33,7 +33,7 @@ st.markdown(
     "</p>", 
     unsafe_allow_html=True
 )
-st.markdown("<h2 style='text-align: center; color: Black;'>Applications</h2>", unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: left; color: Black;'>Applications</h2>", unsafe_allow_html=True)
 st.markdown(
     "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
     "Data Science can be applied across various industries, including business, healthcare, finance, retail, and social media."
@@ -42,7 +42,7 @@ st.markdown(
     "</p>", 
     unsafe_allow_html=True
 )
-st.markdown("<h2 style='text-align: center; color: Black;'>What is Artificial Intelligence (AI) </h2>", unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: left; color: Black;'>What is Artificial Intelligence (AI) </h2>", unsafe_allow_html=True)
 st.markdown(
     "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
     "In Artificial intellect, we will guide machines to effortlessly replicate or mimic natural intellect in order to construct AI."
@@ -52,12 +52,33 @@ st.markdown(
     "The computer seeks to replicate NI's learning abilities.When a machine attempts to replicate the creating capacity of NI, a generative AI tool is deployed."
      "</p>", 
     unsafe_allow_html=True)
-st.markdown("<h3 style='text-align: center; color: Black;'>Examples (AI) </h3>", unsafe_allow_html=True)
+st.markdown("<h3 style='text-align: left; color: Black;'>Examples of AI </h3>", unsafe_allow_html=True)
 st.markdown("<p style='font-size: 16px; color: Blue; font-style: italic;'>"
     "AI is used to recognise speech and deliver appropriate replies. For example, when you ask Siri, What's the weather today? it utilises natural language processing (NLP) to interpret your inquiry and respond."
     "Self-Driving Cars,companies like Tesla employ artificial intelligence to allow automobiles to drive themselves by analysing real-time data from cameras, sensors, and maps. AI systems in self-driving cars can identify objects, forecast traffic patterns, and make driving judgements."
     "</p>", 
     unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: left; color: Black;'>Machine Learning (AI) </h2>", unsafe_allow_html=True)
+st.markdown("<p style='font-size: 16px; color: Blue; font-style: italic;'>"
+           "Machine Learning (ML) is a subset of Artificial Intelligence (AI) in which computers are trained to learn from data, recognise patterns, and make judgements or predictions without being specifically programmed to do so. The key assumption is that systems may learn and improve via experience."
+           "Machine learning algorithms are used to analyse data, identify patterns, and make conclusions. As more data is collected, these algorithms improve and become more accurate at making predictions or conclusions."
+            "</p>", 
+    unsafe_allow_html=True)
+st.markdown("<h3 style='text-align: left; color: Black;'>Types of Machine Learning </h3>", unsafe_allow_html=True)
+st.markdown("<p style='font-size: 16px; color: Blue; font-style: italic;'>"
+           "Supervised Learning"
+           "Unsupervised Learning"
+           "Reinforcement Learning"
+           "Semi-Supervised Learning")
+st.markdown("<h3 style='text-align: left; color: Black;'>Examples of ML </h3>",unsafe_allow_html=True)
+st.markdown("<p style='font-size: 16px; color: Blue; font-style: italic;'>"
+           "Recommendation Systems (Netflix, YouTube, and Amazon):How It Works: Machine learning models use your previous behaviour (e.g., what you viewed or purchased) to propose new content or goods that you might enjoy.
+For example, Netflix recommends episodes based on what you've viewed, while Amazon sells things based on your browsing history."
+"Fraud detection (banking and credit cards),How it works: Machine learning algorithms examine transaction data for unexpected patterns that might signal fraud.
+For example, credit card firms utilise machine learning to detect potentially fraudulent transactions in real time, such as a card being used in two different places within minutes."
+"</p>", 
+    unsafe_allow_html=True)
+