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

Short summary

A learner documents their first Kaggle Playground competition, covering the full ML workflow from EDA to ensemble model training and submission. The post walks through data exploration, feature separation, missing value analysis, and preprocessing pipeline construction with code examples. It serves as a practical beginner-to-intermediate guide for anyone transitioning from tutorials to real-world ML competitions.

• •Complete walkthrough of a Kaggle Playground competition from data loading to submission
• •Covers EDA, feature engineering, preprocessing pipelines, and ensemble models
• •Beginner-friendly with code snippets and lessons learned from the competition

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