Description
Exploratory Data Analysis (EDA) is, in my opinion, the most important part of Machine Learning Modeling in new datasets. If EDA is not executed correctly, it can cause us to start modeling with…
Summary
- Example with NASA dataset Exploratory Data Analysis (EDA) is, in my opinion, the most important part of Machine Learning Modeling in new datasets.
- If EDA is not executed correctly, it can cause us to start modeling with “unclean” data, and this is just as a snowball downhill, it gets bigger and worse.
- Basic elements of a good Exploratory Data Analysis The exploratory Data Analysis can be as deep as you want or need it to be, but a basic analysis needs to have elements below: As it takes quite some time to process, I use it when I want to explore small datasets quickly, and I hope that it speeds up your EDA, too.