Update pages/Lifecycle of Machine Learning.py

pages/Lifecycle of Machine Learning.py

@@ -156,10 +156,58 @@ print(df.head())
         st.write("Data Formats:")
         format_selected = st.radio(
             "Select a format to explore further:",
-            ("TEXT","IMAGE","VIDEO", "AUDIO")
+            ("IMAGE","VIDEO", "AUDIO")
         )
-           
-        
+        #HOW TO READ TEXT
+        if format_selected == "IMAGE":
+            
+            st.subheader("IMAGE Data Format")
+            st.write("*What is it?*")
+            st.write(
+                "Photos, medical scans, satellite images. "
+                )
+
+                st.write("*How to Read IMAGE Files?*")
+            st.code(
+                """
+
+pip install opencv-python
+import cv2
+
+# Read the image
+image = cv2.imread('example.jpg')
+
+# Display the image
+cv2.imshow('Image', image)
+cv2.waitKey(0)  # Wait for a key press to close the window
+cv2.destroyAllWindows(
+                
+
+
+
+                """,
+                language="python"
+            )
+
+            st.write("*Common Issues When Handling image Files*")
+            st.write(
+                """
+- data augumentation and overfitting
+- image processing challenges
+- Data Imbalance
+- High Dimensionality
+                """
+            )
+            
+            st.write("*How to Overcome These Errors/Issues?*")
+            st.write(
+                """
+- Data Augumentaion.
+- Consistent image processing
+- Handling Class Imbalance.
+- Dimensionality Reduction and Feature Extraction
+                """
+            )