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Exploratory Data Analysis
Master pandas and seaborn to uncover trends, seasonal patterns, and feature correlations in real automotive data.
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4.6 from 110 ratings
Machine Learning for Automotive
ProoV · Intermediate
About this project
Build ML models to predict resale values for VW Golf and Audi A4 using real UK market data. Compare Linear Regression with Random Forest and deliver business recommendations in this simulated case study.
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inMachine Learning for Automotive
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Associated with ProoV
A graded ProoV project, completed step by step and marked against a published rubric.
❖machine-learning, regression and more skills
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What students say
This project gave me hands-on experience with the complete machine learning workflow, from data cleaning and exploratory data analysis to feature engineering, model training, evaluation, and business communication. I learned how to transform raw automotive data into meaningful f…
This project helped me understand how machine learning can be applied to real business problems. I learned how to analyze data, build prediction models, evaluate their performance, and convert technical results into business recommendations. It was a great hands-on experience th…
Made me understand the working for Decision trees in depth. Now i have an idea how to train models and find importance values of features