Update app.py

app.py

@@ -40,19 +40,15 @@ st.markdown(
 
 # Title
 st.markdown("<div class='title'>General Algorithm</div><br>", unsafe_allow_html=True)
-st.markdown("<div class='content'>At the time of training, the machine requires two things: Data & Algorithm.</div>", unsafe_allow_html=True)
-
 # Basic Steps
 st.markdown("<div class='header'>Basic Steps</div><br>", unsafe_allow_html=True)
 st.markdown("<div class='content'>1. While guiding the machine, the main guidance comes from how we preprocess our data and choose the algorithm.</div>", unsafe_allow_html=True)
 st.markdown("<div class='content'>2. If we preprocess the data incorrectly and choose the wrong algorithm, it leads to bad model performance.</div>", unsafe_allow_html=True)
 st.markdown("<div class='content'>3. Inside the algorithm, there will be steps that the machine must follow while learning.</div>", unsafe_allow_html=True)
-
 # Based on the Algorithm
 st.markdown("<div class='header'>Based on the Algorithm</div><br>", unsafe_allow_html=True)
 st.markdown("<div class='content'>1. Identify whether the algorithm is Supervised, Unsupervised, Semi-supervised, or Reinforcement Learning.</div>", unsafe_allow_html=True)
 st.markdown("<div class='content'>2. If we choose Supervised Learning, we must decide between Classification or Regression based on the problem and data.</div>", unsafe_allow_html=True)
-
 # Preprocessing Steps
 st.markdown("<div class='header'>Basic Steps Before Training</div><br>", unsafe_allow_html=True)
 st.markdown("<div class='content'>1. When working with preprocessed tabular data, identify the feature variables and class variables.</div>", unsafe_allow_html=True)
@@ -61,7 +57,6 @@ st.markdown("<div class='content'><b>Feature Variables:</b> Sepal Length, Sepal
 st.markdown("<div class='content'><b>Class Variable:</b> Species</div>", unsafe_allow_html=True)
 st.markdown("<div class='content'>2. Divide the entire data into feature variables and class variables.</div>", unsafe_allow_html=True)
 st.markdown("<div class='content'>3. Now split the data into Training Set (DTrain) and Test Set (DTest).</div>", unsafe_allow_html=True)
-
 # Conditions for splitting
 st.markdown("<div class='header'>Conditions</div><br>", unsafe_allow_html=True)
 st.markdown("<div class='content'>1. Majority of the data should be in DTrain.</div>", unsafe_allow_html=True)
@@ -77,7 +72,7 @@ col1, col2, col3 = st.columns(3)
 
 with col1:
     if st.button("KNN Algorithm"):
-        st.switch_page("pages/KNN Algorithm.py")
+        st.switch_page("pages/1KNN Alogrithm.py")
 
 with col2:
     if st.button("Decision Tree"):