How do I split my dataset for machine learning in Python?

How do I split my dataset for machine learning in Python?

You can use the train_test_split function from the sklearn.model_selection module to split your dataset.

Can you show me an example of how to use it?

Sure! Here's a simple example:

from sklearn.model_selection import train_test_split
import pandas as pd

# Load your dataset
df = pd.read_csv('your_dataset.csv')

# Split the dataset
train, test = train_test_split(df, test_size=0.2, random_state=42)

What does the test_size parameter do?

The test_size parameter determines the proportion of the dataset to include in the test split. For example, 0.2 means 20% of the data will be used for testing.