Simple Comparison:

Concept	In KNIME	In Python (what we’ll do)
Data Loading	CSV Reader node	pd.read_csv()
Target Column	You set it as target	y = data[‘weather_category’]
Decision Tree	Decision Tree Learner node	DecisionTreeClassifier()
Confusion Matrix	Scorer node	confusion_matrix()
Accuracy	Shown in Scorer	accuracy_score()

1. Load the data (same as CSV Reader in KNIME)

df = pd.read_csv(‘city-weather.csv’)

2. See basic info about data

print(“Shape of data:”, df.shape)
print(“\nColumns:”, df.columns.tolist())

3. See what we are predicting

print(“\nWeather Categories:”)
print(df[‘weather_category’].value_counts())