From Learning Machine Learning to Competing on Kaggle: My First End-to-End Playground Competition Journey

How I applied Exploratory Data Analysis, Feature Engineering, Pipelines, and Ensemble Models to solve a real-world machine learning problem—and the lessons I learned along the way.

Introduction

There comes a point in every machine learning learner's journey when watching tutorials and completing small practice exercises are no longer enough.

After spending weeks understanding statistics, exploratory data analysis (EDA), feature engineering, preprocessing techniques, and classical machine learning algorithms, I wanted to answer one question:

Can I apply everything I've learned to a real machine learning competition?