Machine Learning & Data Studies

Ongoing practical study of data analysis and machine learning with Python: cleaning data, exploring it visually, and training baseline models to understand where they help and where they mislead.

Machine learning is easy to imitate and hard to apply honestly. The goal was understanding, not demos.

• 01Worked from raw datasets rather than pre-cleaned tutorials.
• 02Prioritised exploratory analysis and visualization before modelling.
• 03Compared simple baselines against complex models to keep expectations grounded.

• ✽A working understanding of the data pipeline end to end.
• ✽Better judgement about when a problem genuinely needs machine learning.