Project developed using data from the Automobile Dataset whose objective is to perform an exploratory analysis of the data and build a Machine Learning model to predict the price variable.
The project was developed in the order of these three files below:
- data_cleaning.ipynb
- data_analysis.ipynb
- data_processing.ipynb
Below are the main tasks performed in each file:
- data_cleaning.ipynb: Handle missing data, Fix data with incorrect types
- data_analysis.ipynb: Exploratory Data Analysis (EDA), Feature Engineering, and Selection
- data_processing.ipynb: Transformations in data for model training, model training, performance evaluation, and interpretation of results
The data is available on the UC Irvine Machine Learning Repository: UCI