Table of content:
- Business Problem
- How the problem is solved through Machine Learning
- Source of data
- Data Preprocessing
- Exploratory Data Analysis and its observation.
- Existing approach of the problem
- My First cut approach to solve the problem
- Explanation of Model and Code snippet
- comparison of model in tabular format
- kaggle submission
- Final pipeline of the problem
- Future work
- Reference
1. Business problem:
1.1 Introduction:
The first luxury car maker Benz Patented Motor Car in 1886, Mercedes-Benz has stood for important automotive innovations. These include, for example, the passenger safety cell with crumple zone, the airbag and intelligent assistance systems. Mercedes-Benz applies for nearly 2000 patents per year, making the brand the European leader among premium car makers. Daimler’s Mercedes-Benz cars are leaders in the premium car industry. With a huge selection of features and options, customers can choose the customized Mercedes-Benz of their dreams. .
To ensure the safety and reliability of each and every unique car configuration before they hit the road, Daimler’s engineers have developed a robust testing system. But, optimizing the speed of their testing system for so many possible feature combinations is complex and time-consuming without a powerful algorithmic approach. As one of the world’s biggest manufacturers of premium cars, safety and efficiency are paramount on Daimler’s production lines.
#data-science #machine-learning #kaggle-competition
