Kaggle Playground series s5e1: Tough Beginnings
This blog post covers my first attempt at a Kaggle competition, where I explored data, engineered features, and trained models to predict sticker sales. Despite ranking around 1500th, I learned valuable lessons and discovered top competitor strategies that I'll dive into next.
Citizen Data Scientist, Module IV: Applying Data Science in Practice: Feature Engineering, Scaling, and Selection
Learn how to apply data science in practice by mastering essential preprocessing techniques like feature engineering, scaling, and selection. This post explains the importance of each step, with practical examples on how to improve your machine learning models.