Predicting CO2 emissions using ML Regression Models
Sadidul Kabir
Data Scientist
ML Engineer
Data Analyst
pandas
Python
scikit-learn
Goal:
The data set we will use for predicting CO2 emissions using Linear Regression Model.
Description:
The dataset contains data on the engine size, number of cylinders, fuel consumption, and carbon dioxide gas emissions of some vehicles. Assume that carbon-dioxide emissions are the target variable in this dataset; that is, given the engine size, number of cylinders, and fuel consumption of a new car, you want to predict the car's carbon-dioxide emissions.
Skills:
Data cleaning, EDA, LinearRegression Model, statsmodels and so on.
Technology:
Python, Pandas, NumPy, Seaborn, Matplotlib, scikit-learn.
Results:
The model can predict 89% accurately. We can use this model to predict CO2 emissions by making new observations.
