Table of Contents
How to Win a Data Science Competition: Learn from Top Kagglers
Wekk 4
Week 3
Week 2
Week 1
링크
How to Win a Data Science Competition: Learn from Top Kagglers
Wekk 4
Hyperparameter tuning
Hyperparameter tuning I
Week 3
Metrics optimization
Classification metrics review
Approaches for target metric optimization
Regression metrics optimization
Week 2
Exploratory data analysis
Building intuition about the data
Reading material for video 2
Exploring anonymized data
Notebook for video 3 screencast
Visualizations
Dataset cleaning and other things to check
Exploratory data analysis
Springleaf competition EDA I
Springleaf competition EDA II
Numerai competition EDA
Validation and overfitting
Data splitting strategies
Problems occurring during validation
Data leakages
Week 1
Welcome to "How to win a data science competition"
Competition mechanics
Recap of main ML algorithms
Software Hardware requirements
링크
https://www.coursera.org/learn/competitive-data-science