Generate a simple strategy to identify and handle missing values in a given dataset using basic methods.
Task: Provide a basic strategy for handling missing values in a dataset. Context: I have a dataset with some missing values in columns like [column_name_1] and [column_name_2]. Constraints: - Focus on simple, common methods. - Suggest methods like mean/median imputation or row/column deletion. Output Goal: Help me understand basic approaches to clean my data.
Generate ideas for creating new numerical features from existing ones in a dataset, focusing on simple transformations.
Explain common techniques for transforming categorical features into numerical formats for machine learning.
Receive suggestions for basic methods to address missing values in your dataset, such as removal or simple imputation techniques.
