This repository contains a Jupyter Notebook for analyzing and modeling air pressure system failures in Scania trucks using the dataset Air Pressure System Failures in Scania Trucks from Kaggle.
This notebook aims to detect air pressure system failures in Scania trucks by applying machine learning techniques. The notebook is structured into several key sections:
- EDA: Exploratory Data Analysis. This section includes initial data exploration, visualization, and understanding of the dataset.
- Data Preprocessing: Includes scripts and functions for cleaning and transforming the data to prepare it for modeling.
- Model Training: Covers the training of machine learning models using the preprocessed data.
- Post-Processing: Contains results and visualizations related to the analysis and predictions made by the model.
- Model Validation: Includes evaluation metrics and validation results to assess the performance of the trained model.