| import streamlit as st | |
| import numpy as np | |
| import pandas as pd | |
| st.write(""" | |
| **A problem statement in machine learning defines the specific issue you want to solve using data and machine learning techniques. It should clearly explain:** | |
| - What the problem is | |
| - Why solving it is important | |
| - What data is available | |
| - What the expected outcome will look like | |
| """) | |
| st.write(""" | |
| **Examples of ML Problem Statements:** | |
| - **Predicting House Prices:** | |
| - Problem: We want to predict the price of houses based on features like size, location, number of bedrooms, etc. | |
| - Why: This helps buyers make informed decisions and real estate agents price houses correctly. | |
| - Data: Historical data about house prices and their features. | |
| - Expected Outcome: A model that predicts the price of a house given its features. | |
| """) |