Update pages/Problem Statement.py
Browse files- pages/Problem Statement.py +19 -0
pages/Problem Statement.py
CHANGED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
import numpy as np
|
3 |
+
import pandas as pd
|
4 |
+
|
5 |
+
st.write("""
|
6 |
+
**A problem statement in machine learning defines the specific issue you want to solve using data and machine learning techniques. It should clearly explain:**
|
7 |
+
- What the problem is
|
8 |
+
- Why solving it is important
|
9 |
+
- What data is available
|
10 |
+
- What the expected outcome will look like
|
11 |
+
""")
|
12 |
+
st.write("""
|
13 |
+
**Examples of ML Problem Statements:**
|
14 |
+
- **Predicting House Prices:**
|
15 |
+
- Problem: We want to predict the price of houses based on features like size, location, number of bedrooms, etc.
|
16 |
+
- Why: This helps buyers make informed decisions and real estate agents price houses correctly.
|
17 |
+
- Data: Historical data about house prices and their features.
|
18 |
+
- Expected Outcome: A model that predicts the price of a house given its features.
|
19 |
+
""")
|