Machine Learning Terminology: Match the definitions to the tasks

a) Exploratory Data Analysis

b) Feature Engineering

c) Feature Selection

d) Cleansing Data

1. The process of removing imperfections and errors in our data.

2. The process of reducing the number of input features to a model, by choosing those with the best predictive power.

3. The process of extracting initial insights from a dataset to prompt further questions and establish possible priorities for analysis.

4. The process of transforming a dataset to better suit the intended analysis.