Automobile Data Using Multiple Linear Regression and Machine Learning
Independent Project
Total years of experience :0 years, 1 Months
Conducted a thorough examination of the data to understand patterns and trends.
• Created visual representations of the data to uncover relationships and insights.
• Calculated statistical metrics and tested null hypotheses to understand relationships
and verify assumptions.
• Crafted and transformed features from the raw data to enhance model performance.
• Applied multiple linear regression to model relationships between multiple variables
and automobile data.
• Utilized machine learning models such as Random Forest and XGBoost for classification
and prediction tasks.