DataScience Project

Project for Data Science and Machine Learning course at HFU Group 1: Zalan, Phat, Shanaya, Jiri

Tasks

Common Tasks

• Q1: Create a predictive model for the attribute weight_in_kg
• Q2: Create a predictive model for the attribute error_type

Solo Tasks

• Create predictive models for further product characteristics so that they come to at least 2 analyses per person (different models).
• Explain the concepts you used for data analysis (for the target group)
• Evaluate and review your results
• Note: If applicable, you can also show that a good prediction (using the models we have covered) is not possible. Build prediction models for other features.

Jiri: IonizationClass, ReflectionScore Phat: multidamentional, error Shanaya: pressure, niceness Zalan: quality, distortion

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