Kaggle-class

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week1 - Intro to competitions & Recape - Feature preprocessing & extraction week2 - EDA - Validation - Data leaks week3 - Metrics - Mean-encodings week4 - Advanced features - Hyperparameter optimization - Ensembles week5 - Final project - Winning solutions

Competitions’ concepts

Data

Model

Submission

Evalustion

Leaderboard

Real World ML Pipeline

Understand of problem

Problem formalization

Data collection

Data preprocessing

Modeling

Way to evaluate model in real life

In kaggle, we only need to do step4 and step 5.