hi please tell me the approach to solve this problem

[vkt08]

1. You have to solve a multi-label classification problem statement.
2. It contains two files: train.csv and test.csv.
3. The dataset contains the following columns:
   • LossDescription: Description of Event
   • ResultingInjuryDesc: Injury Description
   • PartInjuredDesc: Body Part Injured Description
   • Cause - Hierarchy 1: Cause Hierarchy 1
   • Body Part - Hierarchy 1: Body Part Hierarchy 1
   • Index: Identifier
4. Tasks:
   • Perform exploratory data analysis (EDA) on the dataset.
   • Train multi-label classification models to predict "Cause - Hierarchy 1" and "Body Part - Hierarchy 1" when other columns are given.
     Two models will be required to predict each target variable.

[vkt08]

please tell the approach to solve this problem