Update pages/Life_cycle_of_ML.py

pages/Life_cycle_of_ML.py

@@ -1,19 +1,4 @@
-import streamlit as st
 
-# HTML content inside a string for correct syntax
-html_content = """
-# Life Cycle of ML
-
-The life cycle of Machine Learning (ML) involves several stages, from defining the problem to deploying the model. Here's an overview of each stage:
-
-1. **Problem Definition:** Understanding the problem to define the goals and objectives of the ML model.
-2. **Data Collection:** Gathering relevant data required to train the model.
-3. **Data Preprocessing:** Cleaning and transforming the data into a usable format.
-4. **Model Building:** Building and training machine learning models using the processed data.
-5. **Evaluation:** Evaluating the performance of the model and adjusting it as needed.
-6. **Deployment:** Deploying the model into a production environment.
-
----
 
 ## Shapes Representing the ML Life Cycle