How can I automate data preprocessing for my machine learning project?

How can I automate data preprocessing for my machine learning project?

You can automate data preprocessing by using libraries like Pandas and Scikit-learn in Python. Would you like a code example?

Yes, please provide a code example for handling missing values.

Sure! You can use the following code to fill missing values with the mean:

import pandas as pd

df = pd.read_csv('data.csv')
df.fillna(df.mean(), inplace=True)

This will replace all missing values with the mean of their respective columns.

What about encoding categorical variables?

For encoding categorical variables, you can use one-hot encoding with Pandas like this:

df = pd.get_dummies(df, columns=['categorical_column'])

This will create new binary columns for each category.