My Projects

A comprehensive analysis of the crab age prediction dataset sourced from Kaggle was done. Various models were developed and evaluated using Python, where Random Forest ultimately emerged as the most effective solution. Throughout the project, many challenges were encountered and successfully addressed. E.g. presence of outliers and multicollinearity were dealt with using appropriate methodologies. This journey not only yielded valuable insights but also significantly enriched the understanding of building machine learning models. 

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