Weather forecast data

Project Overview

The notebook loads weather_forecast_data.csv with pandas and inspects its structure (6 columns: Temperature, Humidity, Wind_Speed, Cloud_Cover, Pressure, Rain) over 2,500 entries It prints summary statistics via .describe() and the first few rows to understand distribution and class balance.
The target Rain is label-encoded, and numeric features are standardized with StandardScaler before model development.