Md. Rakibul Hasan
Civil Engineer
MS in Disaster Management (Contd.), University of Dhaka.

• Load the data,
• Perform Label Encoding or One-hot Encoding (Explain which one is best suitable for your analysis),
• Split the original dataset into the train set (80%) and the test set (20%),
• Perform Linear Regression and Predict the 'Price' from the test set,
• Show the coefficients of your linear regression model for each feature and show the y-intercept value of your linear regression model. (Interpret the coefficients),
• Find the MAE, MAPE, MSE, RMSE, coefficient of determination values from the actual target variable and the predicted target variable,
• Compare the actual and predicted target variable through visualization.

References:
Dataset Source: https://www.kaggle.com/aishwaryamuthukumar/cars-dataset-audi-bmw-ford-hyundai-skoda-vw