hyundai_used_car_ML

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

Objectives:

• Supervised Learning: Linear Regression
• train data, test data
• Understanding the equation of a straight line
• feature coefficient (slope, gradient, m)
• bias coeffcient (y-interccept, c)
• domain: x-axis, independent variable
• range: y-axis, dependent variable
• loss function, cost function, objective function, error function
• bias-variance tradeoff, overfitting, underfitting
• ordinary least square method
• gradient descent method
• residual, error, squared error, RMSE - Root Mean Squared Error

References:

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