This *intermediate* level data set has 155 rows and 20 columns and provides various attributes of a patient.
This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **classification modelling techniques**.
Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
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### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Hepatitis Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Hepatitis).
The UCI page mentions the following authors for providing the data set:
