What are some effective data preprocessing techniques?

What are some effective data preprocessing techniques?

Data preprocessing techniques include normalization, standardization, handling missing values, and encoding categorical variables.

Can you explain normalization and standardization?

Normalization scales the data to a range of [0, 1], while standardization transforms data to have a mean of 0 and a standard deviation of 1.

How do I handle missing values in my dataset?

You can handle missing values by removing them, imputing with mean/median/mode, or using algorithms that support missing values.

What is the best method for encoding categorical variables?

The best method depends on the data; common techniques include one-hot encoding and label encoding.