A classification workflow to predict rainfall (“Rain” vs. “no rain”) from meteorological features.
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.