Escaping the tutorial trap and starting my ML training arc

Short summary

A 1st-year CS student is shifting from tutorial-based ML learning to real-world data science with messy datasets. Recently achieved 78% accuracy on a Kaggle Medical Insurance dataset, treating data science as detective work rather than calculator use. Plans to document his learning journey while working toward a Master's degree in AI/ML at a research lab in Japan.

• •Transitioning from clean tutorial datasets to real-world messy data and missing values
• •Recent 78% accuracy win on Kaggle Medical Insurance dataset
• •Long-term goal: Master's degree in AI/ML at a top research lab in Japan

Generated with AI, which can make mistakes.