How do I preprocess my dataset for machine learning?

How do I preprocess my dataset for machine learning?

Preprocessing involves cleaning, transforming, and organizing your data. What type of data are you working with?

I have a CSV file with numerical and categorical data.

Great! You should start by handling missing values, then normalize numerical features and encode categorical ones. Do you need help with specific techniques?

Yes, how can I handle missing values?

You can either remove rows with missing values, fill them with the mean/median, or use more advanced techniques like KNN imputation. What do you prefer?

I think filling with the mean is a good start. How do I do that?

You can use libraries like Pandas in Python. Use df.fillna(df.mean()) to fill missing values with the mean of each column.