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Back to Machine Learning

Data Preprocessing, Visualization & Model Training

A practical assignment focused on real-world data handling and analysis.

Requirements

  • Clean the dataset thoroughly
  • Standardize categorical and numerical values
  • Generate meaningful graphs and plots
  • Analyze data distribution
  • Optional model implementation (Bonus credit)

Learning Outcomes

Data CleaningVisualizationExploratory Data AnalysisMachine Learning Fundamentals

Guidelines

  • Deadline: 15 September 2025
  • Mandatory Submission
  • No Plagiarism Allowed
  • GPT and external resources allowed if concepts are understood

Task Statistics

25
Total Members
16
Submitted