Predicting CO2 emissions using ML Regression Models by Sadidul KabirPredicting CO2 emissions using ML Regression Models by Sadidul Kabir

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.

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Posted Jun 10, 2024

The data set we will use for predicting CO2 emissions using Linear Regression Model.

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