CO2 Emission by Cars

A reliable End to End Machine Learning Model to predict CO2 Emissions in different type of Cars.

Description

The task is to build a machine learning model to predict CO2 emissions by different types of cars based on features such as:

• Model of car
• Engine Size (in Litre)
• Number of cylinders
• Class of vehicle
• Fuel consumption (on highways, in city roads)

Project also aims at testing the influence of different independent features on the emission of CO2 using statistical methods.

DataSet:

• The dataset has been taken from the Canada Government official open data website and is available in kaggle
• Cleaned and processed version of the data can be accessed from here
• Dataset contains 7385 datapoints and 12 columns.

Notebook:

Notebook contains the EDA, data processing, and model building ideas.

Notebook	Colab	Kaggle
CO2 Emission

Models

We experimented with different methods for model building

• OLS Regression
• Ridge Regression
• Lasso Regression
• Elastic Net Regression

Project Pipeline

Techstack

Python version : 3.7
Packages: pandas, numpy, seaborn, sklearn, mlxtend, statsmodels
Cloud: heroku

Usage [running locally]:

conda create -n envname python=3.7
activate envname
git clone https://github.com/d0r1h/CO2-Emission-by-Cars.git
cd CO2-Emission-by-Cars
pip install -r requirements.txt
python app.py

Results

• Ridge Regression (with alpha = 0.5) has been the most effective in reducing RMSE.
• The exact combination of features responsible for high CO2 emissions cannot be predicted Since all the features are highly correlated.
• Following image shows score table for different models

Inference Demo:

Application is deployed on heroku and can be accessed at https://coemission.herokuapp.com/ and following data can be used to test the application.

Engine Size	Cylinders	Fuel Consumption City	Fuel Consumption Hwy	Fuel Consumption Comb	Fuel Consumption Comb (mpg)	Fuel Types	Transmission type	Make	Vechicle Class	CO2 Emissions
3.5	6	11.9	7.7	10	28	z	AS6	Luxury	Sedan	230
3.5	6	11.8	8.1	10.1	28	z	AS6	Luxury	Sedan	232