Exploratory data analysis
From Rice Wiki
Exploratory data analysis (EDA) is the first step in the Machine Learning pipeline. It allows us to make informed decisions about tools used to analyze the data.
- Look at features of data
- Look at correlated features
- Find trends and unusual characteristics
Dataset description
EDA also detects unwanted values/noise that lead to inaccurate predictions.
EDA finds the correlation of attributes of datasets, such as linearity.
