How can I use Pandas for machine learning in Python?

How can I use Pandas for machine learning in Python?

You can use Pandas to manipulate and analyze data, which is essential for preparing datasets for machine learning.

What are some common operations I can perform with Pandas?

Common operations include data cleaning, filtering, grouping, and merging datasets, as well as handling missing values.

Can you show me a simple example of data preprocessing with Pandas?

Sure! You can use pd.read_csv() to load data, then use methods like dropna() to remove missing values.

How do I split my data into training and testing sets?

You can use train_test_split from sklearn.model_selection after loading your data with Pandas.